MPM modeling of the entrainment phenomenon of rapid flow-like landslides and the challenges
编号:38 访问权限:仅限参会人 更新:2025-07-21 20:22:47 浏览:16次 口头报告

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摘要
Rapid flow-like landslides (RFLLs) are one-type of extremely dangerous mass flows. In the runout process of many RFLLs, the path materials are usually entrained by the landslides, enlarging the scale of them. As an emerging method, the material point method (MPM) has shown significant potential in modeling the entrainment process of RFLLs, while its application in the field is limited. In this study, we proposed an improved MPM model for simulating the entrainment process of RFLLs, aiming at shedding light on its dynamic mechanism. The model was utilized to analyze the entrainment process of a RFLL in China. The results indicate that the model proposed by us could reflect the entrainment phenomenon observed in the field to a certain extent, especially the plowing pattern and lateral spreading process of the path material. The entrainment process of the landslide case consists of three stages: 1) bending of entrained material, 2) formation of shear failure in it, and 3) occurrence of upheaval and lateral deformations. However, several critical limitations of the current model should be addressed to achieve a better understanding toward this phenomenon. The development of stable multi-phase MPM models incorporating the entrainment effect should be a feasible way to tackle these challenges.
 
关键词
Landslides,,numerical simulation model,MPM,Entrainment
报告人
Wei Shen
Associate Professor Chang'an University

稿件作者
Wei Shen Chang'an University
Tonglu Li Chang'an University
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重要日期
  • 会议日期

    08月23日

    2025

    08月26日

    2025

  • 07月21日 2025

    初稿截稿日期

  • 08月26日 2025

    注册截止日期

主办单位
Southwest Jiaotong University, China (SWJTU)
International Consortium on Geo-disaster Reduction (ICGdR)
UNESCO Chair on Geoenvironmental Disaster Reduction
承办单位
Southwest Jiaotong University, China (SWJTU)
International Consortium on Geo-disaster Reduction (ICGdR)
UNESCO Chair on Geoenvironmental Disaster Reduction
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