Kyushu University Academic Staff Educational and Research Activities Database
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Seiya Watanabe Last modified date:2022.11.07



Graduate School
大学院総合理工学府  総合理工学専攻 (Ⅲ類)機械・システム理工学メジャー


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Homepage
https://kyushu-u.pure.elsevier.com/en/persons/seiya-watanabe
 Reseacher Profiling Tool Kyushu University Pure
https://www.riam.kyushu-u.ac.jp/ship/index-j.html
Phone
092-583-7748
Fax
092-592-4832
Academic Degree
Doctor of Engineering
Country of degree conferring institution (Overseas)
No
Field of Specialization
Computational fluid dynamics, High performance computing, Ship and ocean engineering
Total Priod of education and research career in the foreign country
00years00months
Research
Research Interests
  • Performance Evaluation of the Lattice Boltzmann Method on the Supercomputer Fugaku
    keyword : lattice Boltzmann method, A64FX, Fugaku, HPC
    2020.11.
  • CFD simulations of tidal current turbines using the lattice Boltzmann method
    keyword : tidal turbine, CFD, lattice Boltzmann method
    2020.10~2022.03.
  • Large scale simulation for offshore wind farm using lattice Boltzmann method
    keyword : lattice Boltzmann method, offshore wind farm, large-scale CFD simulation
    2021.10.
  • CFD simulations of clustered wind lens turbine
    keyword : lattice Boltzmann method, wind-lens turbine
    2022.01.
  • Simulation for ice‐transiting vessel by using lattice Boltzmann method
    keyword : Ice‐transiting vessel, Ice load, Fluid-structure interaction, Lattice Boltzmann method
    2020.01~2022.06.
  • Dynamic load balancing for adaptive mesh refinement method
    keyword : Dynamic load balancing, Domain decomposition, Adaptive mesh refinement, Multi-phase-field method, Parallel computing
    2017.04~2020.03.
  • Multi-GPU computing of adaptive mesh refinement method to allocate high-resolution grid to free surface
    keyword : Adaptive mesh refinement, Free-surface flow, GPU, Space filling curve, Lattice Boltzmann method
    2018.04.
Academic Activities
Papers
1. Seiya Watanabe, Changhong Hu, Lattice Boltzmann simulations for multiple tidal turbines using actuator line model, Journal of Hydrodynamics, 10.1007/s42241-022-0037-0, 34, 3, 372-381, 2022.06, In numerical simulations of tidal current farms, large-scale computational fluid dynamic (CFD) simulations with a high-resolution grid are required to calculate the interactions between tidal turbines. In this study, we develop a numerical simulation method for tidal current turbines using the lattice Boltzmann method (LBM), which is suitable for large-scale CFD simulations. Tidal turbines are modeled by using the actuator line (ACL) model, which represents each blade as a group of actuator points in a line. In order to validate our LBM-ACL model, we perform simulations for two interacting tidal turbines, and results of turbine performance are compared with a water tank experiment. The proposed model successfully reproduces the variation of the torque due to wave effects and mean turbine performance. We have demonstrated a large-scale simulation for ten tidal turbines using 8.55×108 grid points and 16 GPUs of Tesla P100 and the simulation has been completed within 9 hours with the LBM performance of 392 MLUPS per GPU..
2. Seiya Watanabe, Takayuki Aoki, Large-scale flow simulations using lattice Boltzmann method with AMR following free-surface on multiple GPUs, Computer Physics Communications, 10.1016/j.cpc.2021.107871, 264, 5, 2021.07.
3. Seiya Watanabe, Shintaro Fujisaki, Changhong Hu, Numerical simulation of dam break flow impact on vertical cylinder by cumulant lattice Boltzmann method, Journal of Hydrodynamics, 10.1007/s42241-021-0028-6, 33, 185-194, 2021.04.
4. Seiya Watanabe,Takayuki Aoki,Tomohiro Takaki, A Domain Partitioning Method Using a Multi-phase-field Model for Block-based AMR Applications, Parallel Computing, https://doi.org/10.1016/j.parco.2020.102647, 2020.05.
Membership in Academic Society
  • The Japan Society of Naval Architects and Ocean Engineers
  • The Japan Society for Computational Engineering and Science
  • The Japan Society of Mechanical Engineers