Post-failure analysis of landslides in spatially varying soil deposits using stochastic material point method
MA Guo-tao1, REZANIA Mohammad1, MOUSAVI NEZHAD Mohaddeseh1, SHI Bu-tao2
1. School of Engineering, University of Warwick, Coventry, United Kingdom
2. China Longyuan Power Group Corporation Ltd, Beijing, China
Online:2022-07-20
Published:2022-09-20
Contact:
REZANIA Mohammad, male, born in 1980, PhD, Professor, PhD supervisor, research interests: constitutive model and artificial intelligence. E-mail: M.rezania@warwick.ac.uk.
E-mail:G.ma.1@warwick.ac.uk.
About author:MA Guo-tao, male, born in 1990, PhD, Researh fellow, research interests: Artificial intelligence and disaster prediction.
Supported by:
the National Natural Science Foundation of China (52150610492).
MA Guo-tao, REZANIA Mohammad, MOUSAVI NEZHAD Mohaddeseh, SHI Bu-tao, . Post-failure analysis of landslides in spatially varying soil deposits using stochastic material point method[J]. Rock and Soil Mechanics, 2022, 43(7): 2003-2014.