Tohoku University · Engineering
Professor Shuji Moriguchi's research lab specializes in numerical modeling and simulation of geohazards, with a focus on landslides, debris flows, and flood disasters. The lab develops advanced computational methods—such as the CIP scheme and discrete element methods—to simulate large-deformation flows of geomaterials, incorporating realistic rheological behaviors like Bingham-type viscosity derived from soil mechanics principles. Their work integrates field surveys with numerical analysis to improve disaster prediction and risk assessment, particularly in urban and mountainous regions vulnerable to extreme rainfall events. The lab emphasizes the impact of particle size distribution and material properties on simulation accuracy, aiming to enhance the reliability of geohazard modeling for practical disaster mitigation.
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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