東北大学 · 工学
Moriguchi教授の研究室は、土砂災害や斜面崩壊などの地理的災害における大規模な変形挙動を数値的に予測することを目的としています。主に、土砂を粘性流体としてモデル化し、ボイジンの流れ則に基づく構成則を用いた数値解析手法の開発を進めています。特に、CIPスキームを用いた流体・固体・気体を併存させる数値計算手法の応用が特徴で、実災害の現場調査データと照合した実践的な災害予測の高度化を目指しています。
Figures are computed from collected data and may differ slightly.
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
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