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Language：English   Publisher：Japanese Society for Rock Mechanics  

Water inrush hazard, which is the most frequent geo-hazard encountered by underground engineering, particularly when passing through water-rich geological formations. Understanding the incubation, evolution, and occurrence of water inrush, as well as the reinforcement approach in tunnels, is crucial for disaster mitigation and risk control. To this end, we systematically put forward our solutions to this problem by giving full play to the advantages of discontinuous deformation analysis (DDA). The practical application of our numerical solutions, starting from the hydro-weakening origins, progressing to the water and rock inflow, and culminating in the grouting process for disaster mitigation, demonstrates that our work provides a comprehensive understanding of the evolution mechanism of water inrush disasters.

DOI： 10.11187/ijjsrm.240218

CiNii Research

Language：Japanese   Publisher：Japan Society of Civil Engineers  

<p> In the maintenance and management of highway structures, various platforms have been proposed to spatially integrate and utilize various types of information on a 3D model. By building a platform, information on different structures such as bridges and pavements can be managed centrally using location information. On the other hand, it is difficult to construct a platform for complex structures such as special bridges because it is difficult to create a detailed 3D model, and there are also distortions and lack of location information in the inspection records. In this study, we proposed a new 3D modeling method for special bridges that changes the level of detailing for each member, and a method of integrating inspection and repair information and models by regularizing location information, and constructed an information integration platform suitable for use in maintenance and management. The visualization and spatio-temporal analysis of the information obtained from the platform were conducted, and the usefulness of the platform for maintenance management was clarified.</p>

DOI： 10.2208/jscejj.23-22027

CiNii Research

DOI： 10.1007/978-981-99-9223-2_19

Web of Science

Publisher：Lecture Notes in Civil Engineering  

Improving the disaster risk reduction literacy of residents is crucial for reducing the damage caused by serious disasters. This study aimed to investigate the impact of developing a community disaster management plan (CDMP) on residents’ disaster risk reduction literacy. To formulate the CDMP, a disaster risk communication workshop was conducted to collect information on existing disasters and discuss disaster risks in the community. The results were compiled into a risk map and timeline to support proactive disaster management activities by residents. The study assessed the effect of participation in the workshop on disaster risk reduction literacy, using a post-workshop questionnaire to survey participants. Propensity score analysis was employed to infer causal effects. The results showed that full participation in the workshop significantly increased participants’ understanding of disaster threats and improved disaster risk reduction literacy.

DOI： 10.1007/978-981-99-9219-5_33

Web of Science

Scopus

Publisher：Lecture Notes in Civil Engineering  

Heavy rainfall is a frequent and widespread severe weather hazard that may cause flood damage and human casualties. Since heavy rainfall is a progressive disaster, its scale and hazardous areas can be foreseen beforehand. Therefore, evacuating people from hazardous buildings to shelters in advance is an efficient effort to reduce casualties, but a scientific basis is still required. This paper proposes an approach for assessing each building’s evacuation vulnerability based on predicted evacuation time, aiming to support evacuation decision-making under heavy rainfall. As such, this paper applies Dijkstra’s algorithm to find the evacuation route from each building to accessible shelters. Moreover, a prediction model based on the random forest algorithm is developed to estimate their time-varying evacuation time. Road spatial and temporal characteristics that may affect evacuation time are used when developing the model. Finally, the proposed approach is implemented in Joso City, Japan, to verify its feasibility. As a result, the proposed approach accurately predicts and visualizes the evacuation time between each building and its optimal evacuation shelter. It also visually identifies the hard-to-evacuate buildings. The results indicate that the proposed approach can effectively reflect evacuation vulnerability and support heavy rainfall evacuation decision-making, which proves its validity and practicality.

DOI： 10.1007/978-981-99-9219-5_2

Web of Science

Scopus

Event date： 2024.4

Language：Japanese  

Country：Thailand  

Language：Japanese  

Country：Austria  

Language：Japanese  

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Type：Competition, symposium, etc. 

Audience： General,　Scientific,　Company,　Civic organization,　Governmental agency

Type：Seminar, workshop

糸島市災害リスクコミュニケーション