Tohoku University · 공학
모리구치 수지 교수의 연구실은 지반재료의 대변형 거동을 정량적으로 예측하기 위한 수치해석 기법 개발에 주력하고 있습니다. 특히 산사태, 지반 붕괴 등 지구재해 발생 시의 유동 거동을 뉴턴성 유체나 빙하형 유체 모델을 기반으로 해석하며, CIP 스킴과 같은 고정밀 수치기법을 활용해 고체, 액체, 기체의 복합 거동을 동시에 모의합니다. 또한 입자 크기 분포가 토양 유동 시뮬레이션의 정확도에 미치는 영향을 분석하는 디스crete 요소법 기반 연구를 통해 침식 및 유역 재해 예측의 정밀도를 향상시키고자 합니다.
표시된 성과는 수집된 데이터 기준으로 산출되며, 일부 차이가 있을 수 있습니다.
A numerical method is developed for the prediction of large deformations associated with a geomaterial flow during the occurrences of such geo-disasters as landslides and slope failures. The geomaterial is modeled as a viscous fluid, where a Bingham type constitutive model is proposed based on Coulomb's failure criterion and the viscosity is derived from the cohesion and friction angle. Numerical experiments on a 2D gravitational flow of a geomaterial column show that the constitutive model perf
Typhoon Hagibis struck Japan on October 12–13, 2019. There was substantial damage over a wide area including the Tohoku region. In particular, Marumori Town, an urban area in Miyagi Prefecture that includes a town hall, was flooded due to heavy rain. The maximum cumulative rainfall and hourly rainfall measured in the town were over 600 and 70 mm, respectively. Heavy rain caused river flooding and landslides throughout the town, resulting in 10 deaths and one missing person. There was also substa
The discrete element method is a powerful numerical tool widely employed in granular flow simulations. To reduce computational costs, either monodisperse granular models or models with a limited number of particle sizes are used to estimate the risk of sediment-related disasters. This highlights the need for a thorough understanding on the effects of particle size distribution on the accuracy of granular simulations. In this study, a series of granular flow simulations was conducted with differe
