記述言語：英語   掲載種別：研究論文（学術雑誌）  

入力（形状）に対する出力（性能）のブラックボックスな応答を数理近似するサロゲートモデルに、説明可能性を導入した新たなモデルを提案した。本モデルをテスト問題および流体機械設計問題に適用した結果、各入力が出力に与える影響を系統的に分析でき、設計者の理解を支援できることを実証した。

DOI： 10.1016/j.ress.2022.109045

リポジトリ公開URL： https://hdl.handle.net/2324/7179439

記述言語：英語   掲載種別：研究論文（学術雑誌）  

DOI： 10.1007/s00158-023-03487-y

リポジトリ公開URL： https://hdl.handle.net/2324/7179442

記述言語：英語   掲載種別：研究論文（その他学術会議資料等）  

DOI： 10.2514/6.2023-0332

記述言語：英語   掲載種別：研究論文（学術雑誌）  

DOI： 10.1007/s00158-022-03384-w

記述言語：その他   掲載種別：研究論文（学術雑誌）  

DOI： 10.1016/j.ast.2022.107747

記述言語：英語   掲載種別：研究論文（学術雑誌）  

<title>Abstract</title>Additive manufacturing (AM) has an affinity with topology optimization to think of various designs with complex structures. Hence, this paper aims to optimize the design of a lattice-structured heat sink, which can be manufactured by AM. The design objectives are to maximize the thermal performance of convective heat transfer in natural convection simulated by computational fluid dynamics (CFD) and to minimize the material cost required for AM process at the same time. The lattice structure is represented as a node/edge system via graph theory with a moderate number of design variables. Bayesian optimization, which employs the non-dominated sorting genetic algorithm II and the Kriging surrogate model, is conducted to search for better designs with the minimum CFD cost. The present topology optimization successfully finds better lattice-structured heat sink designs than a reference fin-structured design regarding thermal performance and material cost. Also, several optimized lattice-structured designs outperform reference pin-fin-structured designs regarding thermal performance though the pin-fin structure is still advantageous for a material cost-oriented design. This paper also discusses the flow mechanism observed in the heat sink to explain how the optimized heat sink structure satisfies the competing design objectives simultaneously.

DOI： 10.1007/s00158-021-03092-x

記述言語：英語   掲載種別：研究論文（その他学術会議資料等）  

DOI： 10.2514/6.2022-1096

記述言語：英語   掲載種別：研究論文（その他学術会議資料等）  

DOI： 10.2514/6.2022-0506

記述言語：英語   掲載種別：研究論文（学術雑誌）  

DOI： 10.2322/tjsass.64.325

記述言語：英語   掲載種別：研究論文（その他学術会議資料等）  

DOI： 10.2514/6.2021-3039

記述言語：その他   掲載種別：研究論文（学術雑誌）  

DOI： 10.1007/s00158-021-02947-7

記述言語：その他   掲載種別：研究論文（学術雑誌）  

DOI： 10.2514/1.j060225

記述言語：英語   掲載種別：研究論文（学術雑誌）  

DOI： 10.1016/j.apm.2021.01.012

記述言語：その他   掲載種別：研究論文（学術雑誌）  

DOI： 10.2514/1.j059905

記述言語：英語   掲載種別：研究論文（その他学術会議資料等）  

DOI： 10.4271/2021-01-0683

記述言語：英語   掲載種別：研究論文（その他学術会議資料等）  

DOI： 10.2514/6.2021-0181

記述言語：日本語   掲載種別：研究論文（学術雑誌）  

DOI： 10.11351/jsaeronbun.52.13

記述言語：英語   掲載種別：研究論文（学術雑誌）  

DOI： 10.1299/jfst.2021jfst0006

記述言語：英語   掲載種別：研究論文（学術雑誌）  

Machine Learning-Assisted High-Throughput Molecular Dynamics Simulation of High-Mechanical Performance Carbon Nanotube Structure
© 2020 by the authors. Licensee MDPI, Basel, Switzerland. Carbon nanotubes (CNTs) are novel materials with extraordinary mechanical properties. To gain insight on the design of high-mechanical-performance CNT-reinforced composites, the optimal structure of CNTs with high nominal tensile strength was determined in this study, where the nominal values correspond to the cross-sectional area of the entire specimen, including the hollow core. By using machine learning-assisted high-throughput molecular dynamics (HTMD) simulation, the relationship among the following structural parameters/properties was investigated: diameter, number of walls, chirality, and crosslink density. A database, comprising the various tensile test simulation results, was analyzed using a self-organizing map (SOM). It was observed that the influence of crosslink density on the nominal tensile strength tends to gradually decrease from the outside to the inside; generally, the crosslink density between the outermost wall and its adjacent wall is highly significant. In particular, based on our calculation conditions, five-walled, armchair-type CNTs with an outer diameter of 43.39 Å and crosslink densities (between the inner wall and outer wall) of 1.38 ± 1.16&#37;, 1.13 ± 0.69&#37;, 1.54 ± 0.57&#37;, and 1.36 ± 0.35&#37; were believed to be the optimal structure, with the nominal tensile strength and nominal Young’s modulus reaching approximately 58–64 GPa and 677–698 GPa.

DOI： 10.3390/nano10122459

記述言語：英語   掲載種別：研究論文（その他学術会議資料等）  

DOI： 10.1145/3377929.3398122

記述言語：英語   掲載種別：研究論文（その他学術会議資料等）  

DOI： 10.1145/3377929.3398114

記述言語：英語   掲載種別：研究論文（その他学術会議資料等）  

DOI： 10.1145/3377929.3398163

記述言語：日本語   掲載種別：研究論文（学術雑誌）  

Aerodynamic Improvement of a Delta Wing by Using Combination of Leading Edge Flaps

DOI： 10.11395/jjsem.20.101

記述言語：英語   掲載種別：研究論文（学術雑誌）  

Gaussian Process Surrogate Model with Composite Kernel Learning for Engineering Design

DOI： 10.2514/1.J058807

記述言語：英語   掲載種別：研究論文（学術雑誌）  

Shape Optimization of a Disc-Pad System under Squeal Noise Criteria

DOI： 10.1007/s42452-020-2175-8

記述言語：英語   掲載種別：研究論文（その他学術会議資料等）  

DOI： 10.2514/6.2020-1865

記述言語：英語   掲載種別：研究論文（学術雑誌）  

Numerical Investigation of Geometrical Corrugation Influence to Vortex Flowfields at Low Reynolds Number

DOI： 10.1299/jfst.2019jfst0018

記述言語：英語   掲載種別：研究論文（その他学術会議資料等）  

EFFECT OF SPAN-WISE AND CHORD-WISE FLEXIBILITY IN A FLAPPING FLIGHT

記述言語：英語   掲載種別：研究論文（学術雑誌）  

Thermo-Fluid Dynamic Design Optimization of a Concentric Tube Heat Exchanger

DOI： 10.1299/jfst.2019jfst0011

記述言語：英語   掲載種別：研究論文（学術雑誌）  

Multi-Objective Design Optimization of a High Efficiency and Low Noise Blower Unit of a Car Air-Conditioner
Car air-conditioners consist of a blower unit and a heater unit. A blower unit sends wind to a heater unit, and a heater unit adjusts the temperature inside the vehicle. Blower units of car air-conditioners are required to be smaller, lighter, noiseless, and power-saving. However, it is difficult and expensive to predict the noise directly by computational fluid dynamics simulation. Hereupon, this study employs an indirect noise prediction method based on a noise prediction theory to evaluate noise for blower units inexpensively. This method is investigated through a comparison with actual sound pressure level measurement. Then, using this method, this study moves to design optimization of a blower unit of car air-conditioners. The optimization aims to improve total pressure efficiency and sound pressure level from the current design that has been employed for a real commercial vehicle. This study employs a genetic algorithm to explore global optima in a two-objective problem. The present genetic algorithm is assisted by the Kriging surrogate model to reduce computational cost required for evaluating objective functions. The optimization results indicate that the optimized blower unit involves a multi-blade fan with the high chord-pitch ratio to decrease the loss of total pressure efficiency, which is often induced by the flow separation on the blade and the swirling flow on the meridional plane. In addition, the sound pressure level of blower unit can be reduced by decreasing the local flow velocity on the meridian plane due to a blockage factor. A blower unit, which has a scroll with a large tongue angle, shows high total pressure efficiency because the increase in eddy loss is suppressed at the tongue. They suggest the importance of the matching of multi-blade fan and scroll to achieve the good overall performance of a blower unit.

DOI： 10.1177/0954407019827131

記述言語：英語   掲載種別：研究論文（学術雑誌）  

A Comparative Study of Multi-Objective Expected Improvement for Aerodynamic Design

DOI： 10.1016/j.ast.2019.05.044

記述言語：英語   掲載種別：研究論文（学術雑誌）  

Data Analysis of Multi-Dimensional Thermophysical Properties of Liquid Substances Based on Clustering Approach of Machine Learning

DOI： 10.1016/j.cplett.2019.04.075

記述言語：英語   掲載種別：研究論文（学術雑誌）  

Multipoint Design Optimization of Vortex Generators on Transonic Swept Wings
Multipoint design optimization of the shape of vane-type vortex generators (VGs) and their arrangement on swept wings are conducted using computational fluid dynamics in order to provide designs that are suitable for both cruise and critical conditions. The optimization is divided into two phases: the VG arrangement is optimized using the NASA Common Research Model (CRM) after the VG shape is optimized on a swept infinite wing with a cross-sectional airfoil of the CRM. The shape optimization reveals that VG height and incidence angle control the aerodynamic performance under cruise and critical conditions, and VGs with higher length-to-height ratios show better performance. One of the shape-optimized VGs has been used in this study to optimize the VG arrangement to ensure static stability of the pitching moment with minimally increased drag under cruise conditions. Optimized VG arrangements can prevent shock-induced separation from propagating to wing tips around the Yehudi break of the CRM wing. One optimal solution reduces conventional VG drag penalties by 50&#37;.

DOI： 10.2514/1.C035148

記述言語：英語   掲載種別：研究論文（学術雑誌）  

A Kriging-Based Dynamic Adaptive Sampling Method for Uncertainty Quantification

DOI： 10.2322/tjsass.62.137

記述言語：英語   掲載種別：研究論文（学術雑誌）  

Optimization of Passive Grooved Micromixers Based on Genetic Algorithm and Graph Theory

DOI： 10.1007/s10404-019-2201-6

記述言語：英語   掲載種別：研究論文（学術雑誌）  

Efficient Global Optimization with Ensemble and Selection of Kernel Functions For Engineering Design

DOI： 10.1007/s00158-018-2053-9

記述言語：英語   掲載種別：研究論文（学術雑誌）  

The stent geometrical design (e.g., inter-strut gap, length, and strut cross-section) is responsible for stent-vessel contact problems and changes in the blood flow. These changes are crucial for causing some intravascular abnormalities such as vessel wall injury and restenosis. Therefore, structural optimization of stent design is necessary to find the optimal stent geometry design. In this study, we performed a multiobjective stent optimization for minimization of average stress and low wall shear stress ratio while considering the wall deformation in 3D flow simulations of triangular and rectangular struts. Surrogate-based optimization with Kriging method and expected hypervolume improvement (EHVI) are performed to construct the surrogate model map and find the best configuration of inter-strut gap (G) and side length (SL). In light of the results, G-SL configurations of 2.81-0.39 and 3.00-0.43 mm are suggested as the best configuration for rectangular and triangular struts, respectively. Moreover, considering the surrogate model and flow pattern conditions, we concluded that triangular struts work better to improve the intravascular hemodynamics. ᅟ Graphical abstract.

DOI： 10.1007/s11517-018-1864-6

記述言語：英語   掲載種別：研究論文（学術雑誌）  

Stochastic Tsunami Inundation Flow Simulation via Polynomial Chaos Approach

DOI： 10.1299/jfst.2018jfst0025

記述言語：英語   掲載種別：研究論文（その他学術会議資料等）  

Aerodynamic drag reduction using a coating material in flapping wing

記述言語：英語   掲載種別：研究論文（学術雑誌）  

In this paper, we investigate the capability of the universal Kriging (UK) model for single-objective global optimization applied within an efficient global optimization (EGO) framework. We implemented this combined UK-EGO framework and studied four variants of the UK methods, that is, a UK with a first-order polynomial, a UK with a second-order polynomial, a blind Kriging (BK) implementation from the ooDACE toolbox, and a polynomial-chaos Kriging (PCK) implementation. The UK-EGO framework with automatic trend function selection derived from the BK and PCK models works by building a UK surrogate model and then performing optimizations via expected improvement criteria on the Kriging model with the lowest leave-one-out cross-validation error. Next, we studied and compared the UK-EGO variants and standard EGO using five synthetic test functions and one aerodynamic problem. Our results show that the proper choice for the trend function through automatic feature selection can improve the optimization performance of UK-EGO relative to EGO. From our results, we found that PCK-EGO was the best variant, as it had more robust performance as compared to the rest of the UK-EGO schemes
however, total-order expansion should be used to generate the candidate trend function set for high-dimensional problems. Note that, for some test functions, the UK with predetermined polynomial trend functions performed better than that of BK and PCK, indicating that the use of automatic trend function selection does not always lead to the best quality solutions. We also found that although some variants of UK are not as globally accurate as the ordinary Kriging (OK), they can still identify better-optimized solutions due to the addition of the trend function, which helps the optimizer locate the global optimum.

DOI： 10.1007/s00158-017-1867-1

記述言語：その他  

DOI： 10.1007/978-3-319-91641-5_18

記述言語：日本語   掲載種別：研究論文（学術雑誌）  

DOI： 10.1299/transjsme.17-00390

記述言語：英語   掲載種別：研究論文（その他学術会議資料等）  

This paper introduces a multi-objective optimization framework for engineering design based on Kriging surrogate model when gradient information is available. Specifically, our interest here is to solve airfoil optimization problem via the use of computational fluid dynamics method. Here, the gradient is obtained via the adjoint method that computes the gradient for an arbitrary number of variables with a cost equal to or even less than one function evaluation. We applied the expected hypervolume improvement technique to add more solutions toward the discovery of Pareto front. The use of gradient-enhanced Kriging and expected hypervolume improvement eliminates the need for manual tuning of the weight as in the case of previous works regarding multi-objective airfoil optimization. The framework is demonstrated on the inviscid transonic airfoil optimization case with 2 and 12 design variables. The results show that the framework is highly efficient, outperforming non-gradient-based method in terms of optimization iteration. However, one has to be more careful when the actual gradient evaluation cost is counted. In our applications, the combination of gradient-enhanced Kriging and expected hypervolume improvement shows an advantage over the one with ordinary Kriging when the adjoint cost for two objectives is less than 20&#37; of the function evaluation cost.

DOI： 10.1109/SSCI.2017.8280832

記述言語：英語   掲載種別：研究論文（その他学術会議資料等）  

In this paper, we explore the use of the recently proposed polynomial chaos-Kriging (PCK) surrogate model to assist a single-objective efficient global optimization (EGO) framework in order to solve expensive optimization problems. PCK is a form of universal Kriging (UK) that employs orthogonal polynomials and least-angle-regression (LARS) algorithm to select the proper set of polynomial basis. The use of LARS within the PCK algorithm eliminates the need for the manual selection of UK's trend function. Investigation on the capability of PCK-EGO is performed on five synthetic and one aerodynamic test problems. In light of the results, we observe that PCK-EGO performs in a similar way to standard EGO in cases with no clear polynomial-like trend. However, PCK-EGO shows a notable faster convergence in problems where the objective function exhibits a landscape trend that can be captured by polynomials. Application to the subsonic wing problem further demonstrates that PCK-EGO is more efficient than EGO in a real-world aerodynamic optimization problem.

DOI： 10.1109/SSCI.2017.8280831

記述言語：英語   掲載種別：研究論文（学術雑誌）  

The presence of uncertainties is inevitable in engineering design and analysis, where failure in understanding their effects might lead to the structural or functional failure of the systems. The role of global sensitivity analysis in this aspect is to quantify and rank the effects of input random variables and their combinations to the variance of the random output. In problems where the use of expensive computer simulations is required, metamodels are widely used to speed up the process of global sensitivity analysis. In this paper, a multi-fidelity framework for global sensitivity analysis using polynomial chaos expansion (PCE) is presented. The goal is to accelerate the computation of Sobol sensitivity indices when the deterministic simulation is expensive and simulations with multiple levels of fidelity are available. This is especially useful in cases where a partial differential equation solver computer code is utilized to solve engineering problems. The multi-fidelity PCE is constructed by combining the low-fidelity and correction PCE. Following this step, the Sobol indices are computed using this combined PCE. The PCE coefficients for both low-fidelity and correction PCE are computed with spectral projection technique and sparse grid integration. In order to demonstrate the capability of the proposed method for sensitivity analysis, several simulations are conducted. On the aerodynamic example, the multi-fidelity approach is able to obtain an accurate value of Sobol indices with 36.66&#37; computational cost compared to the standard single-fidelity PCE for a nearly similar accuracy.

DOI： 10.1016/j.ress.2017.10.013

記述言語：その他   掲載種別：研究論文（その他学術会議資料等）  

DOI： 10.2514/6.2018-1170

記述言語：その他   掲載種別：研究論文（その他学術会議資料等）  

DOI： 10.2514/6.2018-0913

記述言語：英語   掲載種別：研究論文（学術雑誌）  

Computationally expensive multiobjective optimization problems are difficult to solve using solely evolutionary algorithms (EAs) and require surrogate models, such as the Kriging model. To solve such problems efficiently, we propose infill criteria for appropriately selecting multiple additional sample points for updating the Kriging model. These criteria correspond to the expected improvement of the penaltybased boundary intersection (PBI) and the inverted PBI. These PBI-based measures are increasingly applied to EAs due to their ability to explore better nondominated solutions than those that are obtained by the Tchebycheff function. In order to add sample points uniformly in the multiobjective space, we assign territories and niche counts to uniformly distributed weight vectors for evaluating the proposed criteria. We investigate these criteria in various test problems and compare them with established infill criteria for multiobjective surrogate-based optimization. Both proposed criteria yield better diversity and convergence than those obtained with other criteria for most of the test problems.

DOI： 10.1109/TEVC.2017.2693320

記述言語：英語   掲載種別：研究論文（その他学術会議資料等）  

Aerodynamic Improvement of a Delta Wing in Combination with Leading Edge Flaps

記述言語：英語   掲載種別：研究論文（その他学術会議資料等）  

Effectiveness of flexible wing in a flapping flight

記述言語：英語   掲載種別：研究論文（その他学術会議資料等）  

Effectiveness of flexible wing in a flapping flight

記述言語：その他   掲載種別：研究論文（学術雑誌）  

DOI： 10.1299/jamdsm.2017jamdsm0051

記述言語：英語   掲載種別：研究論文（その他学術会議資料等）  

The cardiovascular stent is one of the medical devices which has been commonly used for curing many vascular diseases. Nowadays, research on many aspects of stent development has been conducted to improve the device's efficacy. Mechanical and flow dynamics analysis on stent performance are useful to understand the impact of the device deployment. Many assumptions have been applied for constructing the stent simulation model including the blood vessel wall condition and its inlet flow conditions. Recently, common assumptions of the stent simulation model are mainly worked under the assumption of rigid wall condition and steady or pulsatile inlet flow. These different assumptions may lead to different simulation results. These differences may also affect the further analysis such as optimization process. This research tries to investigate the pulsatile effect on the stent optimization results based on computational simulation with wall deformation. Comparison with the previous optimization with a steady flow was conducted to find out about the differences between the two conditions. We found that the difference in optimization results from both inflow conditions is insignificant.

DOI： 10.1109/ICA.2017.8068435

記述言語：英語   掲載種別：研究論文（その他学術会議資料等）  

Numerical Simulation of the Flow around a Delta Wing with Combination of Leading Edge Flaps

記述言語：英語   掲載種別：研究論文（学術雑誌）  

The Kriging surrogate model, which is frequently employed to apply evolutionary computation to real-world problems, with a coordinate transformation of the design space is proposed to improve the approximation accuracy of objective functions with correlated design variables. The coordinate transformation is conducted to extract significant trends in the objective function and identify the suitable coordinate system based on either one of two criteria: likelihood function or estimated gradients of the objective function to each design variable. Compared with the ordinary Kriging model, the proposed methods show higher accuracy in the approximation of various test functions. The proposed method based on likelihood shows higher accuracy than that based on gradients when the number of design variables is less than six. The latter method achieves higher accuracy than the ordinary Kriging model even for high-dimensional functions and is applied to an airfoil design problem with spline curves as an example with correlated design variables. This method achieves better performances not only in the approximation accuracy but also in the capability to explore the optimal solution.

DOI： 10.1007/s10898-017-0516-y

記述言語：その他   掲載種別：研究論文（その他学術会議資料等）  

This paper proposes a novel approach for fluid topology optimization using genetic algorithm. In this study, the enhancement of mixing in the passive micromixers is considered. The efficient mixing is achieved by the grooves attached on the bottom of the microchannel and the optimal configuration of grooves is investigated. The grooves are represented based on the graph theory. The micromixers are analyzed by a CFD solver and the exploration by genetic algorithm is assisted by the Kriging model in order to reduce the computational cost. Three cases with different constraint and treatment for design variables are considered. In each case, GA found several local optima since the objective function is a multi-modal function and each local optimum revealed the specific characteristic for efficient mixing in micromixers. Moreover, we discuss the validity of the constraint for optimization problems. The results show a novel insight for design of micromixer and fluid topology optimization using genetic algorithm.

DOI： 10.1115/detc2017-67745

記述言語：英語   掲載種別：研究論文（学術雑誌）  

This paper identifies exhaust heat characteristics depending on airfoil shapes at low Reynolds number to design a high-altitude long-endurance unmanned aerial vehicle with a wing-surface heat exchanger. In the first step, computational fluid dynamics simulations are conducted for different airfoils, each of which exhausts heat from different regions on the upper surface, at different angles of attack. This parametric study reveals that early transition near the leading edge is favorable to improve heat-exhaust characteristics, although it may increase skin friction. In addition, heat exhaust should be conducted only in the region of turbulent boundary layer behind the transition point. From these results, the airfoil shape significantly affects the Nusselt-number distribution along the upper wing surface due to the change in the location of laminar-turbulent transition and turbulent boundary-layer separation. In the next step, multi-objective optimization of an airfoil shape, which balances aerodynamic performance and heat-exhaust performance, is carried out. The obtained nondominated solutions show the tradeoffs between aerodynamic performance and heat-exhaust performance. It was confirmed that heat-exhaust performance can be controlled by the location of the laminar-turbulent transition, and improved without sacrificing aerodynamic performance at the cruising condition.

DOI： 10.2514/1.C033978

記述言語：英語   掲載種別：研究論文（その他学術会議資料等）  

This paper investigates the capability of universal Kriging (UK), or Kriging with a trend, approximator enhanced with the efficient global optimization (EGO) method to solve expensive multi-objective design optimization problem. Engineering optimization problems typically can be well described with smooth and polynomial-like behavior, which is the main rationale to apply UK over the ordinary Kriging (OK) as the approximator. The UK with orthogonal polynomials and basis selection based on least-angle-regression is utilized for this purpose. Results and demonstration on three synthetic functions using expected hypervolume improvement (EHVI) and Euclidean-based expected improvement (EEI) criterions show the increased quality of the optimized non-dominated solutions when UK is coupled with EHVI criterion. On the other hand, the coupling of UK with EEI does not lead to any improvement and might produce an adverse effect. We also observed that the use of UK mainly improves the proximity to the true Pareto front, with smaller but notable effect on the diversity of the solutions when EHVI is applied as the criterion. As expected, optimization using the UK shows the greatest improvement if all objective functions can be sufficiently approximated by the UK. Based on the results, we suggest that coupling of UK and EHVI criterion is a potential approach to solve the expensive real-world multi-objective optimization problem.

DOI： 10.1109/CEC.2017.7969368

記述言語：英語   掲載種別：研究論文（学術雑誌）  

Stenting is known as one of the main treatment procedure for some intravascular abnormalities such as stenosis and aneurysm. In recent years, stent optimization has been conducted by several research groups in order to increase its treatment efficacy. If we can observe post-deployment behavior on the blood vessel with respect to different stent designs, this observation will be useful in the design process. Kriging surrogate model based on fluid flow simulation on a deformed vessel wall was developed in order to observe this behavior. Multi-objectives optimization was performed with configurations of gap and size as design variables. In this research, percentage of low wall shear stress (WSS) area and average mechanical stress along the deployment area were set as the objective functions. We can recommend that strut with medium size around 100 - 250 micron with a relatively big inter-strut gap is suitable for achieving the optimize criteria. This is because on this range, acceptable optimized value of both objectives functions are successfully obtained.

DOI： 10.1109/EMBC.2017.8037081

記述言語：英語   掲載種別：研究論文（その他学術会議資料等）  

When applying optimization method to a real-world problem, the possession of prior knowledge and preliminary analysis on the landscape of a global optimization problem can give us an insight into the complexity of the problem. This knowledge can better inform us in deciding what optimization method should be used to tackle the problem. However, this analysis becomes problematic when the dimensionality of the problem is high. This paper presents a framework to take a deeper look at the global optimization problem to be tackled: by analyzing the low-dimensional representation of the problem through discovering the active subspaces of the given problem. The virtue of this is that the problem's complexity can be visualized in a one or two-dimensional plot, thus allow one to get a better grip about the problem's diffculty. One could then have a better idea regarding the complexity of their problem to determine the choice of global optimizer or what surrogate-model type to be used. Furthermore, we also demonstrate how the active subspacescan be used to perform design exploration and analysis.

DOI： 10.1145/3067695.3082511

記述言語：英語   掲載種別：研究論文（その他学術会議資料等）  

Comparative Study between Different Strut’s Cross Section Shape on Minimizing Low Wall Shear Stress along Stent Vicinity via Surrogate-based Optimization

記述言語：その他  

DOI： 10.1007/978-3-319-54157-0_32

記述言語：その他   掲載種別：研究論文（その他学術会議資料等）  

DOI： 10.2514/6.2017-1925

記述言語：その他   掲載種別：研究論文（その他学術会議資料等）  

DOI： 10.2514/6.2017-0546

記述言語：英語   掲載種別：研究論文（学術雑誌）  

A non-gradient-based approach for topology optimization using a genetic algorithm is proposed in this paper. The genetic algorithm used in this paper is assisted by the Kriging surrogate model to reduce computational cost required for function evaluation. To validate the non-gradient-based topology optimization method in flow problems, this research focuses on two single-objective optimization problems, where the objective functions are to minimize pressure loss and to maximize heat transfer of flow channels, and one multi-objective optimization problem, which combines earlier two single-objective optimization problems. The shape of flow channels is represented by the level set function. The pressure loss and the heat transfer performance of the channels are evaluated by the Building-Cube Method code, which is a Cartesian-mesh CFD solver. The proposed method resulted in an agreement with previous study in the single-objective problems in its topology and achieved global exploration of non-dominated solutions in the multi-objective problems. (c) 2016 The Authors International Journal for Numerical Methods in Engineering Published by John Wiley & Sons Ltd

DOI： 10.1002/nme.5295

記述言語：英語   掲載種別：研究論文（その他学術会議資料等）  

Aerodynamic Improvement of a Delta Wing in Combination with Leading Edge Flap

記述言語：英語   掲載種別：研究論文（学術雑誌）  

This paper proposes the criteria to adjust the polynomial order and the number of sample points employed in the nonintrusive polynomial chaos expansion method for effective uncertainty quantification. These criteria are calculated based on the total variations in approximated responses between different polynomial orders and different numbers of sample points to avoid Runge's phenomena. The polynomial chaos expansion method adjusted by the proposed criteria is tested in analytic functions and then applied to the sonic boom propagation analysis considering the uncertainty in atmospheric temperature, humidity, and wind velocity. It is confirmed that the polynomial chaos expansion method with the proposed adjustment strategy can estimate the statistics of the sonic boom signature with sufficient accuracy and only 0.35&#37; of the computational cost compared with the Monte-Carlo method.

DOI： 10.2514/1.J054359

記述言語：その他   掲載種別：研究論文（その他学術会議資料等）  

DOI： 10.1109/cec.2016.7744258

記述言語：英語   掲載種別：研究論文（学術雑誌）  

Reducing the noise level in the acoustic cavities is the important problem when treating inflight conditions of commercial planes or boats. Shape optimization of the acoustic cavity that will take into account the geometrical and material uncertainties, arising during the manufacturing process, is presented in this paper. The noise level is controlled by minimizing the energy density in the cavity, obtained through an energy method called Simplified Energy Method. Such formulation is based on our previous published work where transformation function mapping 3D cavity surface on a 2D domain was proposed. The optimization process directly relies on this function and thus avoids remeshing of the geometry. Robust optimization is performed using the nondominated sorting genetic algorithm (NSGA-II) together with the Kriging surrogate model. Influence of geometrical and material characteristics on the optimal solution is identified.

DOI： 10.1142/S0218396X16500065

記述言語：その他   掲載種別：研究論文（その他学術会議資料等）  

DOI： 10.7712/100016.2040.8471

記述言語：英語   掲載種別：研究論文（その他学術会議資料等）  

Optimization of influential factors for practical application of an ornithopter

記述言語：その他   掲載種別：研究論文（学術雑誌）  

The many-objective optimization performance of the Kriging-surrogate-based evolutionary algorithm (EA), which maximizes expected hypervolume improvement (EHVI) for updating the Kriging model, is investigated and compared with those using expected improvement (EI) and estimation (EST) updating criteria in this paper. Numerical experiments are conducted in 3- to 15-objective DTLZ1-7 problems. In the experiments, an exact hypervolume calculating algorithm is used for the problems with less than six objectives. On the other hand, an approximate hypervolume calculating algorithm based on Monte Carlo sampling is adopted for the problems with more objectives. The results indicate that, in the nonconstrained case, EHVI is a highly competitive updating criterion for the Kriging model and EA based many-objective optimization, especially when the test problem is complex and the number of objectives or design variables is large.

DOI： 10.1155/2015/162712

記述言語：日本語   掲載種別：研究論文（学術雑誌）  

近年災害時における状況確認，沿岸監視，テロ現場での情報収集等を目的として，小型飛行体（MAV : Micro Air Vehicle）の研究開発が盛んに行われている．MAVに要求されている外形サイズ，飛行及び作業形態は，現存の航空機と異なるものであり，革新的な技術開発が必要とされる．本研究では，ステンレス製楕円翼を風洞内でヒービング運動させ，6分力ロードセルを用いて翼厚及びヒービング運動条件が空力特性に与える影響を調査した．さらに模型に組み込まれているエンコーダ出力を基に，特定のヒービング角度で計測を行うPIVトリガー計測システムを構築し，空力特性と前縁剥離渦の挙動との関連性について調査した．その結果，ヒービング振幅，板厚を変化させると，空力特性が変化し，固定翼と比較し良好な特性を示す組合せが存在する事が示された．また，優れた空力特性を示した羽ばたき条件におけるPIVトリガー計測を行った結果，ダウンストローク時において下面からのまき込み渦をきっかけにして，大規模な前縁剥離渦が翼上面近傍に長い間存在している事が確認できた．さらに流体力とPIVの同時計測を実施し，薄翼においてヒービング運動と揚力変動の位相が45°ずれており，前縁剥離渦が翼上面近傍に存在している間，揚力が増加する事が示された．

DOI： 10.3154/tvsj.35.37

記述言語：その他   掲載種別：研究論文（その他学術会議資料等）  

DOI： 10.1109/cec.2015.7257118

記述言語：その他   掲載種別：研究論文（その他学術会議資料等）  

DOI： 10.1109/cec.2015.7256997

記述言語：その他  

DOI： 10.1007/978-3-319-15934-8_22

記述言語：その他   掲載種別：研究論文（その他学術会議資料等）  

DOI： 10.2514/6.2015-0745

記述言語：その他   掲載種別：研究論文（学術雑誌）  

DOI： 10.1007/s12283-014-0166-y

記述言語：その他   掲載種別：研究論文（その他学術会議資料等）  

DOI： 10.1109/cec.2014.6900299

記述言語：その他   掲載種別：研究論文（学術雑誌）  

DOI： 10.1016/j.proeng.2014.06.128

記述言語：英語   掲載種別：研究論文（その他学術会議資料等）  

Concurrent Optimization of Both Skill and Equipment of a Discus

記述言語：英語   掲載種別：研究論文（学術雑誌）  

The wind environment at an airport is affected by terrain features. In Japan, Shonai Airport is known to frequently have wind shear over the runway due to the turbulence induced by the neighboring hills in winter. In this study, large eddy simulation (LES) is performed to investigate the turbulence around Shonai Airport. The initial and boundary conditions are given according to the weather prediction data by the Japan Meteorological Agency non-hydrostatic model (JMANHM). These data are downscaled and transferred to LES domains, which consider actual terrain features as the boundary conditions on the ground, using the two-way nesting method. The present simulations indicate that terrain features may have a significant influence on the turbulence appearing in flight paths; i.e., aircraft safety may depend on wind direction. In addition, it is shown that the present simulation method can predict the turbulence induced by terrain features based on good agreement of results with the turbulence actually observed using a Doppler radar.

DOI： 10.2322/tjsass.56.286

記述言語：英語   掲載種別：研究論文（学術雑誌）  

This paper presents a comparison of the criteria for updating the Kriging surrogate models in multi-objective optimization: expected improvement (EI), expected hypervolume improvement (EHVI), estimation (EST), and those in combination (EHVI+EST). EI has been conventionally used as the criterion considering the stochastic improvement of each objective function value individually, while EHVI has recently been proposed as the criterion considering the stochastic improvement of the front of nondominated solutions in multi-objective optimization. EST is the value of each objective function estimated nonstochastically by the Kriging model without considering its uncertainties. Numerical experiments were implemented in the welded beam design problem, and empirically showed that, in an unconstrained case, EHVI maintains a balance between accuracy, spread, and uniformity in nondominated solutions for Kriging-model-based multiobjective optimization. In addition, the present experiments suggested future investigation into techniques for handling constraints with uncertainties to enhance the capability of EHVI in constrained cases.

DOI： 10.1115/1.4024849

記述言語：日本語   掲載種別：研究論文（学術雑誌）  

円盤投の最適化を研究例として，我々が利用した可視化技術を紹介する．具体的には，PIV計測，煙による流れの観察，自己組織化マップ，アニメーション等である．   円盤投研究の目的は，飛距離最長となる投出し条件を求めることである．選手は，日々のトレーニングの中で，飛距離最長を目指して，投出し条件，つまりスキルを改善している．用具設計者は，投げやすく，飛距離がでる円盤を目指して，ルール範囲内で，円盤の慣性モーメントや形状を最適設計している．スキルと用具がうまく調和すれば，飛距離は伸びるはずである．我々は，スキルと用具の同時最適化を目標として，研究を進めている．また，今回は，飛距離に加えて，投出し条件のロバスト性も目的に加えた最適化例を紹介する．

DOI： 10.3154/jvs.33.130_6

記述言語：その他   掲載種別：研究論文（その他学術会議資料等）  

DOI： 10.1109/cec.2013.6557631

記述言語：英語   掲載種別：研究論文（学術雑誌）  

This study establishes an efficient approach for sonic boom analysis under conditions of atmospheric uncertainty, such as temperature, density and wind velocity. This approach combines a non-intrusive polynomial chaos (NIPC) method, which approximates the statistical behavior of output function under conditions of uncertainty, with the sonic boom analysis method using an augmented Burgers' equation, which is able to account for the rise time of the sonic boom signature. The present simulations demonstrate the superior capability of NEPC, which can estimate the statistical signature of sonic boom under conditions of atmospheric uncertainty, while ensuring the same accuracy and much less computational time compared to the Monte Carlo (MC) method. The present simulation results indicate that temperature uncertainty has an impact on the local rise in sonic boom pressure, and atmospheric humidity uncertainty has an impact on the entire shape of the sonic boom signature, while wind uncertainty has almost no impact.

DOI： 10.2322/tjsass.56.129

記述言語：その他   掲載種別：研究論文（その他学術会議資料等）  

DOI： 10.2514/6.2013-1470

記述言語：日本語   掲載種別：研究論文（学術雑誌）  

多目的最適化におけるKriging応答曲面法のためのサンプル追加指標の比較

DOI： 10.11394/tjpnsec.3.173

記述言語：その他   掲載種別：研究論文（その他学術会議資料等）  

DOI： 10.1109/scis-isis.2012.6505255

記述言語：英語   掲載種別：研究論文（学術雑誌）  

A hybrid method between the Kriging model and the radial basis function (RBF) networks is proposed for robust construction of a response surface of an unknown function. In the hybrid method, RBF approximates the macro trend of the function and the Kriging model estimates the micro trend. Hybrid methods using two types of model selection criteria (MSC), i.e., leave-one-out cross-validation and generalized cross-validation for RBF were applied to three one-dimensional test problems. The results were compared with those of the ordinary Kriging (OK) model and the universal Kriging model. The accuracy of each response surface was compared by function shape and root mean square error. The proposed hybrid models were more accurate than the OK model for highly nonlinear functions because they can capture the macro trend of the function properly by RBF, while the OK model cannot. In addition, the hybrid models can find the global optimum with few sample points using the Kriging model approximation errors.

DOI： 10.1299/jcst.6.81

記述言語：その他   掲載種別：研究論文（学術雑誌）  

DOI： 10.1016/j.proeng.2012.04.030

記述言語：その他   掲載種別：研究論文（学術雑誌）  

DOI： 10.1016/j.proeng.2012.04.017

記述言語：その他   掲載種別：研究論文（その他学術会議資料等）  

DOI： 10.1109/cec.2012.6256492

記述言語：英語   掲載種別：研究論文（学術雑誌）  

This paper describes the design optimization of a sport shoe sole structure by evolutionary computation coupled with eigenmode analysis based on the finite element method. A genetic algorithm assisted by the Kriging response surface model was used for global and efficient optimization. The present study implemented two optimization cases based on equivalent design problem formulations: the single-objective constrained problem and multi-objective non-constrained problem. The optimization described here provided a midsole structure with optimal material properties, in which the elastic modulus should be reduced in rearfoot -> midfoot -> forefoot-centre domains sequentially as the midsole weight becomes lighter. In addition, a comparison of the results between the two cases yielded insight into constraint handling for faster convergence in midsole design optimization by evolutionary computation.

DOI： 10.1177/1754337111414485

記述言語：英語   掲載種別：研究論文（学術雑誌）  

This study was performed to determine the relations between the features of wall shear stress and aneurysm rupture. For this purpose, visual data mining was performed in unsteady blood flow simulation data for an aortic aneurysm. The time-series data of wall shear stress given at each grid point were converted to spatial and temporal indices, and the grid points were sorted using a self-organizing map based on the similarity of these indices. Next, the results of cluster analysis were mapped onto the real space of the aortic aneurysm to specify the regions that may lead to aneurysm rupture. With reference to previous reports regarding aneurysm rupture, the visual data mining suggested specific hemodynamic features that cause aneurysm rupture.

DOI： 10.1007/s12650-011-0101-2

記述言語：英語   掲載種別：研究論文（学術雑誌）  

Multi-objective design optimization for a steam turbine stator blade was implemented using three-dimensional large eddy simulation (LES) and a genetic algorithm (GA). The GA used here was assisted by the Kriging response surface model for global and efficient optimization. The aim of the optimization described here was to reduce overall pressure loss and local pressure loss due to end walls simultaneously. The optimization results revealed the blade design candidates that overcame the baseline design in terms of overall loss and local loss, and the trade-off relation between them. In addition, these results provided a specific design concept and corresponding flow mechanism to realize a highly efficient stator blade.

DOI： 10.1299/jcst.5.134

記述言語：英語   掲載種別：研究論文（その他学術会議資料等）  

The Optimization of Style Points and Flight Distance in Ski Jumping Flight

記述言語：英語   掲載種別：研究論文（その他学術会議資料等）  

A hybrid method between the Kriging model and the radial basis function (RBF) networks is proposed for robust construction of a response surface of an unknown function. In the hybrid method, RBF approximates the macro trend of the function and the Kriging model estimates the micro trend. Hybrid methods using two types of model selection criteria (MSC), i.e., leave-one-out cross-validation and generalized cross-validation for RBF were applied to three one-dimensional test problems. The results were compared with those of the ordinary Kriging (OK) model and the universal Kriging model. The accuracy of each response surface was compared by function shape and root mean square error. The proposed hybrid models were more accurate than the OK model for highly nonlinear functions because they can capture the macro trend of the function properly by RBF, while the OK model cannot. In addition, the hybrid models can find the global optimum with few sample points using the Kriging model approximation errors.

DOI： 10.1109/cec.2011.5949933

記述言語：英語   掲載種別：研究論文（学術雑誌）  

One of the difficulties in multi-disciplinary design optimization lies in the complicated interactions between large numbers of objective functions, design variables, and constraints. This difficulty often leads to an unsuitable formulation of design problems. Data mining is often used to address these challenges. Data mining provides insight into the design of complicated systems. The information obtained from data mining can be used to support (a) formulation of design problems, (b) decision making, and (c) design steering. This report presents a review of recent developments and applications of data mining techniques in the engineering design field, and introduces real-world examples of state-of-the-art data mining techniques.

DOI： 10.1177/09544100JAERO906

記述言語：英語   掲載種別：研究論文（学術雑誌）  

Multi-Objective Design Exploration and its Applications

DOI： 10.5139/IJASS.2010.11.4.247

記述言語：その他   掲載種別：研究論文（その他学術会議資料等）  

DOI： 10.1109/nabic.2010.5716324

記述言語：英語   掲載種別：研究論文（その他学術会議資料等）  

Material Design Optimization for a Sport Shoe Sole by Evolutionary Computation and FEM Analysis

記述言語：その他   掲載種別：研究論文（その他学術会議資料等）  

DOI： 10.2514/6.2010-7989

記述言語：英語   掲載種別：研究論文（学術雑誌）  

Performance maps, which represent relations between performance and geometry parameters, are essential for engineers to make a first decision on preliminary specification of a product to be designed. However, actual design often needs to consider various performance and geometry parameters simultaneously. Therefore, the resulting performance maps must be constructed in a high-dimensional form. Based on these requirements, this paper proposes and demonstrates performance map construction with the aid of data mining techniques. Data mining can reveal characteristic patterns in high-dimensional data with performance and geometry parameters. Therefore, the data mining results make it easy to interpret complex features of performance vs. geometry relations, and help engineers to discover new knowledge for engineering design through interpretation. The present demonstration of a centrifugal diffuser demonstrated that the data mining techniques are suitable and applicable to high-dimensional performance map construction, together with actual acquisition of new knowledge for diffuser design that was unknown from conventional quasi-one-dimensional nozzle theory.

DOI： 10.1299/jcst.4.36

記述言語：英語   掲載種別：研究論文（学術雑誌）  

DOI： 10.1109/MCI.2009.933099

記述言語：英語   掲載種別：研究論文（学術雑誌）  

A new approach for multi-objective robust design optimization was proposed and applied to a practical design problem with a large number of objective functions. The present approach is assisted by response surface approximation and visual data-mining, and resulted in two major gains regarding computational time and data interpretation. The Kriging model for response surface approximation can markedly reduce the computational time for predictions of robustness. In addition, the use of self-organizing maps as a data-mining technique allows visualization of complicated design information between optimality and robustness in a comprehensible two-dimensional form. Therefore, the extraction and interpretation of trade-off relationships between optimality and robustness of design, and also the location of sweet spots in the design space, can be performed in a comprehensive manner.

DOI： 10.1115/1.3125207

記述言語：英語   掲載種別：研究論文（学術雑誌）  

Aerodynamic knowledge for flapping airfoil is obtained by application of the multiobjective design exploration framework to a multiobjective aerodynamic flapping airfoil design optimization problem. The objectives of the design optimization problem are 1) time-averaged lift coefficient maximization, 2) time-averaged drag coefficient minimization, and 3) timeaveraged required power coefficient where the airfoil oscillates in plunging and pitching modes. Pareto-optimal solutions are obtained by a multiobjective evolutionary optimization and analyzed with the self-organizing map. Aerodynamic performance of each flapping airfoil is evaluated by a two-dimensional Navier-Stokes solver. Analysis of the flow over the extreme Pareto-optimal flapping airfoils provides insights into flow mechanism for thrust maximization, lift maximization, and required power minimization. Analysis of the design objectives and design parameters with the self-organizing map leads to useful guidelines for practical flapping-wing micro air vehicles. The present result ensures that the multiobjective design exploration framework is useful approach for real-world design optimization problems.

DOI： 10.2514/1.35992

記述言語：日本語   掲載種別：研究論文（学術雑誌）  

応答曲面近似・可視化データマイニングを利用したロバスト設計最適化の実問題応用

DOI： 10.1527/tjsai.24.13

記述言語：英語   掲載種別：研究論文（その他学術会議資料等）  

Physics Data Mining for Three-Dimensional Unsteady Blood Flow Field in an Aneurysmal Aorta

記述言語：英語   掲載種別：研究論文（学術雑誌）  

In this study, a new optimization approach for robust design, design for multi-objective six sigma, has been developed and applied to three robust optimization problems. The design for multi-objective six sigma builds on the ideas of design for six sigma, coupled with multiobjective evolutionary algorithm, for an enhanced capability to reveal tradeoff information considering both optimality and robustness of design. While design for six sigma requires careful input parameter setting, design for multi-objective six sigma needs no such prior tuning, plus it can reveal the tradeoff information in a single optimization run. Three robust optimization problems were taken as to demonstrate the capabilities of design for multi-objective six sigma. Results indicate that design for multi-objective six sigma has a more practical and more efficient capability than the design for six sigma to reveal tradeoff design information considering both optimality and robustness of design. Copyright © 2008 by the American Institute of Aeronautics and Astronautics, Inc. All rights reserved.

DOI： 10.2514/1.30310

記述言語：英語   掲載種別：研究論文（その他学術会議資料等）  

An Approach for Multi-Objective Robust Optimization Assisted by Response Surface Approximation and Visual Data-Mining

DOI： 10.1109/CEC.2007.4424773

記述言語：英語   掲載種別：研究論文（学術雑誌）  

A new constraint-handling method based on Pareto-optimality and niching concepts for multi-objective multiconstraint evolutionary optimization is proposed. The proposed method does not require any constants to be tuned for constraint-handling. In addition, the present method does not use the weighted-sum of constraints and thus does not require tuning of weight coefficients and is efficient even when all individuals in the initial population are infeasible or the amount of violation of each constraint is significantly different. The proposed approach is demonstrated to be remarkably more robust than the dynamic penalty approach and other dominance-based approaches through the optimal design of a welded beam and conceptual design optimization of a two-stage-to-orbit spaceplane.

DOI： 10.2322/tjsass.50.56

記述言語：英語  

Robust Aerodynamic Design of Mars Exploratory Airplane Wing: With a New Optimization Method

記述言語：英語  

Multi-Objective Memetic Algorithms, Chi-Keong Goh, Yew-Soon Ong, and Kay Chen Tan (Eds.), Studies in Computational Intelligence, Vol. 171

記述言語：英語  

Multiobjective Optimization: Interactive and Evolutionary Approaches, Jürgen Branke, Kalyanmoy Deb, Kaisa Miettinen, and Roman Słowiński (Eds.), Lecture Notes in Computer Science 5252

記述言語：英語  

Nano-Mega Scale Flow Dynamics for Advanced Aerospace Technology, Shigenao Maruyama and Kazuhiro Nakahashi (Eds.), 21st Century COE Program International COE of Flow Dynamics Lecture Series, Vol. 11

記述言語：英語  

Computational Fluid Dynamics 2004: Proceedings of the Third International Conference on Computational Fluid Dynamics, ICCFD3, Toronto, 12-16 July 2004, Clinton Groth and David W. Zingg (Eds.)

開催年月日： 2023年12月

記述言語：日本語   会議種別：口頭発表（招待・特別）  

国名：日本国  

開催年月日： 2023年11月

記述言語：英語  

国名：アメリカ合衆国  

開催年月日： 2023年11月

記述言語：日本語  

国名：日本国  

開催年月日： 2023年11月

記述言語：日本語  

国名：日本国  

開催年月日： 2023年11月

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開催年月日： 2021年10月

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開催年月日： 2021年10月

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開催年月日： 2021年6月 - 2021年7月

記述言語：日本語  

国名：その他  

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国名：その他  

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国名：その他  

開催年月日： 2021年5月

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記述言語：英語  

国名：その他  

開催年月日： 2020年12月

記述言語：英語  

国名：その他  

Efficient Global Optimization via Two Distinct Approaches for Building a Combined Kriging Surrogate Model

開催年月日： 2020年11月

記述言語：英語  

国名：その他  

Data-Driven Analysis and Design in Mechanical and Aerospace Engineering

開催年月日： 2020年10月

記述言語：英語  

国名：その他  

Study on Aerodynamic Effect of Corrugation at Low Reynolds Numbers

開催年月日： 2020年10月

記述言語：英語  

国名：その他  

Development of a Small Birdlike High-Performance Flying Robot

開催年月日： 2020年10月

記述言語：英語  

国名：その他  

Multi-Objective Optimization of Multiscale Grid using Deep Learning

開催年月日： 2020年10月

記述言語：英語  

国名：その他  

Prediction of the Flutter Boundary in Aeroelasticity via a Support Vector Machine

開催年月日： 2020年10月

記述言語：英語  

国名：その他  

Progress in Development of an Efficient Uncertainty Quantification Method via Combination of POD and Compressed Sensing

開催年月日： 2020年10月

記述言語：日本語  

国名：その他  

多目的設計探査を用いた動弁系の多機能を短時間に最適化する検証手法の構築

開催年月日： 2020年9月

記述言語：日本語  

国名：その他  

ブロック構造型直交格子法による流体解析

開催年月日： 2020年9月

記述言語：日本語  

国名：その他  

流体機械設計のためのベイズ最適化

開催年月日： 2020年7月

記述言語：英語  

国名：その他  

Uncertainty Quantification Methods for Evolutionary Optimization under Uncertainty

開催年月日： 2020年7月

記述言語：英語  

国名：その他  

Bayesian Methods for Multi-objective Optimization of a Supersonic Wing Planform

開催年月日： 2020年7月

記述言語：英語  

国名：その他  

Combined Kriging Surrogate Model for Efficient Global Optimization Using the Optimal Weighting Method

開催年月日： 2020年5月

記述言語：日本語  

国名：その他  

車室内空調の熱流体解析用ヒータ多孔質モデルの精度向上 –実験データより多孔質モデルの熱伝達係数と通風抵抗の関数化–

開催年月日： 2020年2月

記述言語：英語  

国名：その他  

Robust Shape Optimization under Mechanical Stability Criteria

開催年月日： 2020年1月

記述言語：英語  

国名：その他  

Gradient-Enhanced Universal Kriging with Polynomial Chaos as Trend Function

開催年月日： 2019年11月

記述言語：日本語  

国名：その他  

材料コストを考慮したヒートシンクの熱流動トポロジー最適化

開催年月日： 2019年11月

記述言語：日本語  

国名：その他  

羽ばたき翼におけるコーティング材を用いた空力抵抗軽減

開催年月日： 2019年11月

記述言語：英語  

国名：その他  

Multiphase Flow and Interfacial Transport Phenomena at Phase and Material Boundaries

開催年月日： 2019年11月

記述言語：英語  

国名：その他  

Aerodynamic Drag Reduction using a Coating Material in Flapping Wing

開催年月日： 2019年11月

記述言語：英語  

国名：その他  

An Investigation on Covariance Functions of Kriging for Surrogate Modeling in Fluid Dynamics

開催年月日： 2019年11月

記述言語：英語  

国名：その他  

Bayesian Optimisation of a Low-boom Supersonic Tailless Delta Wing-body using Euler CFD

開催年月日： 2019年11月

記述言語：英語  

国名：その他  

Computational Fluid Dynamics Simulations for Aerodynamic Performance Evaluation of Suborbital Space Vehicle

開催年月日： 2019年11月

記述言語：英語  

国名：その他  

Derivative-Enhanced Surrogate Models For Aerodynamic Design

開催年月日： 2019年11月

記述言語：英語  

国名：その他  

Development of a High-Fidelity Thermo-Fluid Analysis Model for an Automotive Heat Exchanger

開催年月日： 2019年11月

記述言語：英語  

国名：その他  

Experimental and Numerical Study on Unsteady Aerodynamic Characteristics

開催年月日： 2019年11月

記述言語：英語  

国名：その他  

Kriging with Mixed Kernel (MK) for Complex Aerospace Problems

開催年月日： 2019年11月

記述言語：英語  

国名：その他  

Multi-Objective Bayesian Optimization of the Power-Law Configuration for a Low-Boom Waverider

開催年月日： 2019年9月

記述言語：英語  

国名：その他  

Combination of Local and Global Kernel Functions for Kriging-Based Bayesian Optimization

開催年月日： 2019年9月

記述言語：英語  

国名：その他  

Multipoint Shape Optimization of Supersonic Waverider

開催年月日： 2019年9月

記述言語：日本語  

国名：その他  

空力問題における不確かさの定量的評価のためのデータ科学的アプローチ

開催年月日： 2019年9月

記述言語：英語  

国名：その他  

Effect of IGA Formulation on the Simulation of Friction Instabilities of Disc-Pad Systems

開催年月日： 2019年9月

記述言語：英語  

国名：その他  

観測データに基づいた自動車空調機用熱交換器の熱流動解析モデルの高精度化

開催年月日： 2019年7月 - 2019年8月

記述言語：英語  

国名：その他  

Thermo-fluid Dynamic Design Exploration of a Double Pipe Heat Exchanger

開催年月日： 2019年7月

記述言語：英語  

国名：その他  

On the Use of Surrogate Models in Engineering Design Optimization and Exploration: The Key Issues

開催年月日： 2019年7月

記述言語：英語  

国名：その他  

A Multi-point Mechanism of Expected Hypervolume Improvement for Parallel Multi-objective Bayesian Global Optimization

開催年月日： 2019年7月

記述言語：英語  

国名：その他  

On the Use of Metaheuristics in Hyperparameters Optimization of Gaussian Processes

開催年月日： 2019年7月

記述言語：日本語  

国名：その他  

BCMを用いた30P30Nの2次元空力予測精度の向上に向けた取り組み

開催年月日： 2019年5月

記述言語：日本語  

国名：その他  

設計最適化による「ものづくり」

開催年月日： 2019年4月

記述言語：英語  

国名：その他  

Multi-Objective Design Exploration of Automatic Transmission Casing Using Genetic Algorithm and Data Mining Techniques

開催年月日： 2019年3月

記述言語：日本語  

国名：その他  

翼面吹き出し制御によるデルタ翼の離着陸空力性能の向上

開催年月日： 2019年3月

記述言語：日本語  

国名：その他  

複合カーネル学習を用いたKriging応答曲面法

開催年月日： 2019年3月

記述言語：日本語  

国名：その他  

高揚力翼型に対するCFD解析における初期値の影響

開催年月日： 2019年3月

記述言語：英語  

国名：その他  

Robust Shape Optimization under Mechanical Stability Criteria

開催年月日： 2019年3月

記述言語：英語  

国名：その他  

Design Optimization of Brake Systems under Vibroacoustic Criteria

開催年月日： 2019年2月

記述言語：英語  

国名：その他  

Optimization and Uncertainty Quantification for Aerodynamic Design

開催年月日： 2019年1月

記述言語：英語  

国名：その他  

Stochastic Re-entry Trajectory Analysis with Uncertain Initial Conditions for Safety Assessment

開催年月日： 2019年1月

記述言語：英語  

国名：その他  

Kriging with Composite Kernel Learning for Surrogate Modeling in Computer Experiments

開催年月日： 2019年1月

記述言語：英語  

国名：その他  

Multi-Objective Kriging-Based Optimization for High-Fidelity Wind Turbine Design

記述言語：英語  

国名：その他  

A Study on the Aerodynamic Efficiency and Static Stability of a Tailless Aircraft

記述言語：日本語  

国名：その他  

記述言語：英語  

国名：その他  

Aerodynamic Drag Reduction Using a Coating Material in Flapping Wing

記述言語：英語  

国名：その他  

Benchmarking Multi-Objective Bayesian Global Optimization Strategies for Aerodynamic Design

記述言語：英語  

国名：その他  

Change-point Detection between Two Unsteady CFD Simulation Results by Sparse Structure Learning

記述言語：英語  

国名：その他  

Enhancing Multi-Objective Bayesian Optimization with the Probability to Belong to the Pareto Set

記述言語：英語  

国名：その他  

Ensemble of Kriging with Multiple Kernel Functions for Engineering Design Optimization

記述言語：英語  

国名：その他  

Experimental and Numerical Investigation of Flow Phenomena Associated with Low-Reynolds Number Flow

記述言語：日本語  

国名：その他  

記述言語：英語  

国名：その他  

Multi-Objective Aerodynamic Design with User Preference using Truncated Expected Hypervolume Improvement

記述言語：英語  

国名：その他  

Multiobjective Optimization of Stent Design towards In-Stent Restenosis

記述言語：英語  

国名：その他  

Multiscale Flow and Interfacial Transport Phenomena at Phase and Material Boundaries

記述言語：英語  

国名：その他  

Numerical Investigation of Geometrical Corrugation Influence to Vortex Flowfileds at Low-Reynolds Number

記述言語：英語  

国名：その他  

On The Accuracy of Kriging Model in Active Subspaces

記述言語：英語  

国名：その他  

Optimal Wind Turbine Design with Multi-Objective Kriging-Based Optimization

記述言語：英語  

国名：その他  

Probabilistic Tsunami Inundation Hazard Map via Uncertainty Quantification Approaches

記述言語：英語  

国名：その他  

Robust Shape Optimization under Squeal Noise Response for Brake Systems

記述言語：英語  

国名：その他  

Sensitivity of Shape Parameters of Brake Systems under Squeal Noise Criteria

記述言語：英語  

国名：その他  

Thermo-fluid Dynamic Design of a Double Pipe Heat Exchanger

記述言語：英語  

国名：その他  

Uncertainty Quantification in Re-entry Trajectory Analysis for Safety Assessment

記述言語：日本語  

国名：その他  

記述言語：日本語  

国名：その他  

記述言語：日本語  

国名：その他  

記述言語：日本語  

国名：その他  

記述言語：日本語  

国名：その他  

記述言語：日本語  

国名：その他  

記述言語：日本語  

国名：その他  

記述言語：日本語  

国名：その他  

記述言語：その他  

開催地：アメリカ合衆国   国名：その他  

Aerodynamic Behavior of a Discus

記述言語：その他  

開催地：日本国   国名：その他  

Aerodynamic Optimization Using Building Cube Method and Data Mining with Proper Orthogonal Decomposition

記述言語：その他  

開催地：アメリカ合衆国   国名：その他  

CFD Simulations of the Wind Environment at Shonai Airport Integrated with Weather Prediction Data

記述言語：その他  

開催地：オーストラリア   国名：その他  

Comparison of the Criteria for Updating Kriging Response Surface Models in Multi-Objective Optimization

記述言語：その他  

開催地：アメリカ合衆国   国名：その他  

Development of Vertical Takeoff and Landing Vehicle with Flapping Wings

記述言語：その他  

開催地：日本国   国名：その他  

Investigation of Micro-Scale Phenomenon of Clear Air Turbulence by High Accuracy Meteorological Analysis

記述言語：その他  

開催地：アメリカ合衆国   国名：その他  

Optimization of the Moment of Inertia and the Release Conditions of a Discus

記述言語：その他  

開催地：ブラジル   国名：その他  

Sonic Boom Analysis Under Atmospheric Uncertainties by a Non-Intrusive Polynomial Chaos Method

記述言語：その他  

開催地：日本国   国名：その他  

Uncertainty Quantification in Simulation and Design

記述言語：その他  

開催地：フランス   国名：その他  

Uncertainty Quantification of Atmospheric Effects in Sonic Boom Analysis

記述言語：その他  

開催地：日本国   国名：その他  

Updating Kriging Response Surface Models Based on the Hypervolume Indicator in Multi-Objective Optimization

記述言語：その他  

開催地：アメリカ合衆国   国名：その他  

Calculation of Unsteady Control Surface Aerodynamics using Reduced-Order Models

記述言語：その他  

開催地：イタリア   国名：その他  

Data Mining for Performance Map Construction in Centrifugal Diffuser Design

記述言語：その他  

開催地：ドイツ   国名：その他  

Data Mining for Performance Map Construction in Multi-Objective Turbomachinery Design

記述言語：その他  

開催地：アメリカ合衆国   国名：その他  

Kriging/RBF-Hybrid Response Surface Method for Highly Nonlinear Functions

記述言語：その他  

開催地：日本国   国名：その他  

Sonic Boom Analysis Considering Multiple Atmospheric Uncertainties Using a Polynomial Chaos Method

記述言語：その他  

開催地：韓国   国名：その他  

Sonic Boom Analysis Considering Multiple Atmospheric Uncertainties Using a Polynomial Chaos Method

記述言語：その他  

開催地：日本国   国名：その他  

The Optimization of Style Points and Flight Distance in Ski Jumping Flight

記述言語：その他  

開催地：日本国   国名：その他  

円盤投げの投げ出し条件の最適化

記述言語：その他  

開催地：日本国   国名：その他  

円盤投げ用円盤の空力特性と最適投げ出し条件

記述言語：その他  

開催地：日本国   国名：その他  

強非線形関数のためのKriging/RBFハイブリッド応答曲面法の提案

記述言語：その他  

開催地：日本国   国名：その他  

Data Mining for the Investigation of Unsteady Flow Field in a Hard Disk Drive

記述言語：その他  

開催地：カナダ   国名：その他  

Data Mining for the Advection Database of Wake Vortices

記述言語：その他  

開催地：スペイン   国名：その他  

Material Design Optimization for a Sport Shoe Sole by Evolutionary Computation and FEM Analysis

記述言語：その他  

開催地：オーストリア   国名：その他  

Multi-Objective Exploration of the Launch Condition for a Fluctuating Punted Kick in Rugby on the Basis of PSP Measurement

記述言語：その他  

開催地：日本国   国名：その他  

Optimization of Racecar Wings for Lap-time and Fuel Efficiency

記述言語：その他  

開催地：日本国   国名：その他  

Physics Mining for Unsteady Flow Field in a Hard Disk Drive

記述言語：その他  

開催地：台湾   国名：その他  

Visual Data Mining for Unsteady Blood Flow Field

記述言語：その他  

開催地：日本国   国名：その他  

スキージャンプ飛翔の最適制御空間探査

記述言語：その他  

開催地：日本国   国名：その他  

データマイニングによる遠心ディフューザのための多次元性能マップ構築

記述言語：その他  

開催地：日本国   国名：その他  

大動脈瘤内における非定常血流に関する情報探査

記述言語：その他  

開催地：日本国   国名：その他  

飛距離点と飛型点を考慮したスキージャンプ飛翔の最適化

記述言語：その他  

開催地：ノルウェー   国名：その他  

Development and Investigation of Efficient GA/PSO-Hybrid Algorithm Applicable to Real-World Design Optimization

記述言語：その他  

開催地：ポーランド   国名：その他  

Multi-Objective Design Optimization for a Steam Turbine Stator Blade Using LES

記述言語：その他  

開催地：日本国   国名：その他  

磁気ディスク装置における非定常流れ場の流体情報探査

記述言語：その他  

開催地：日本国   国名：その他  

蒸気タービン静翼形状設計最適化

記述言語：その他  

開催地：日本国   国名：その他  

進化的計算によるスポーツ用シューズソールの材料物性最適設計

記述言語：日本語  

代替モデリングに関する昨今の研究動向

記述言語：日本語  

車室内空調における熱流体解析用ヒータ多孔質モデルの高精度化

記述言語：英語  

Increase of Precision in Porous Heater Models for Thermal Fluid Simulation of Automotive Air Conditioners

記述言語：日本語  

ベイズ最適化: 基礎と流体機械設計への応用

記述言語：日本語  

設計最適化による「ものづくり」

記述言語：日本語  

流体機械の最適設計とUQ

記述言語：その他  

© Springer International Publishing AG 2019. A global optimization method for topology optimization using a genetic algorithm is proposed in this paper. The genetic algorithm used in this paper is assisted by the Kriging surrogate model to reduce computational cost required for function evaluation. To validate the global topology optimization method in flow problems, this research works on two single-objective optimization problems, where the objective functions are to minimize pressure loss and to maximize heat transfer of flow channels, and the multi-objective optimization problem, which combines these two problems. The shape of flow channels is represented by the level set function, and the pressure loss and the temperature of the channels are evaluated by the Building-Cube Method (BCM), which is a Cartesian-mesh CFD approach. The proposed method resulted in an agreement with previous study in the single-objective problems in its topology, and achieved global exploration of non-dominated solutions in the multi-objective problem.

DOI： 10.1007/978-3-319-89988-6_32

記述言語：日本語  

記述言語：英語  

Multiobjective Optimization of Stent Design towards In-Stent Restenosis

記述言語：日本語  

記述言語：日本語  

計測と解析を融合するデータ同化を適用し,空調機内部の流れ場の解析手法を高度化した.アンサンブルカルマンフィルタにより,流体解析で与える熱交換器の抵抗係数を流速分布の計測結果を用いて適正化した.

記述言語：日本語  

記述言語：日本語  

脳動脈瘤治療用ステントにおける自己組織化マップを用いた最適形状解析

記述言語：日本語  

Multipoint Design of Vortex Generators for a Transonic Infinite-Wing with a Sweepback Angle

記述言語：日本語  

記述言語：日本語  

Drag parameter estimation of porous medium using data assimilation

記述言語：英語  

記述言語：日本語  

Exploration of Unsteady Blood Flow Information in an Aneurysm Aorta

記述言語：日本語  

本稿では,"設計の失敗"を防ぐための新たな設計アプローチとして提案されている"ロバスト設計"を取り上げる.ロバスト設計とは,実設計問題に不可避的に存在する不確定性(製造誤差・使用環境変化等)の影響を考慮した設計手法であり,不確定性のない理想的環境下で最大性能を発揮する("最適性"に優れた)工学製品ではなく,たとえ不確定性が存在したとしても安定した性能を発揮できる("ロバスト性"に優れた)製品を設計することを目標としている.ロバスト設計問題は,改善すべき指標(最適性・ロバスト性)が互いに相反した関係(トレードオフ)にある多目的最適化問題とみなすことができるため,筆者らは一般的な多目的最適化問題の解法に強い多点型解探索アルゴリズム"進化的アルゴリズム"をロバスト設計問題の解法に生かすことで,独自のロバスト設計手法"多目的シックスシグマ手法"を考案した.本稿では,この多目的シックスシグマ手法を解説するとともに,従来のロバスト設計手法との比較実験および実問題応用例を紹介する.

DOI： 10.11348/reajshinrai.32.2_105

記述言語：日本語  

多目的設計探査による設計空間の可視化と知識発見

DOI： 10.3156/jsoft.21.3_293

記述言語：日本語  

Our previous design optimization of a steam turbine stator blade had lack in the capability of searching optimal solutions, due to low accuracy of response surfaces for the objective functions. This paper starts from a further discussion on the previous optimization results. It finds out that the airfoil representation method used in the previous optimization cannot assure the uniqueness to critical parameters, which are sensitive to the objective functions. Then, this study discusses and modifies a choice of airfoil representation methods. The present optimization using the modified method for airfoil representation realizes successful improvement in the response surface accuracy, and can obtain better solutions than the previous optimization.

記述言語：日本語  

記述言語：日本語  

A new approach for multi-objective design optimization which combines CFD analysis and optimization techniques has been proposed and applied to the airfoil design for a steam turbine stator blade. In the present approach, genetic algorithm is used to search compromised solutions in the multi-objective problem. In addition, response surface approximation using the Kriging model is used together in order to reduce the computational time for objective function evaluation. As a result, the computational time required for the entire optimization process was kept within a realistic range. Moreover, the trade-off relations between multiple objective functions have been discovered, even though the accuracy of the response surface approximation was not yet in a satisfactory level. Finally, many design candidates that outperform the original baseline design have also been discovered.

種別：大会・シンポジウム等 

種別：大会・シンポジウム等 

種別：大会・シンポジウム等 

種別：大会・シンポジウム等 

種別：大会・シンポジウム等 

種別：大会・シンポジウム等 

種別：大会・シンポジウム等 

種別：大会・シンポジウム等 

飛行機の「かしこい」作り方

ベイジアンサロゲートモデリングによる流体解析・設計

Meet the professor -TOHOKU UNIVERSITY- Obayashi, Jeong and Shimoyama Laboratory

機械が“突然変異”するとき 旅客機や新幹線にも利用された，形を「進化させる技術」にせまる