Slope stability and failure dynamics of rainfall-induced landslide: Algorithm and applications

IF 5.3 1区 工程技术 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Computers and Geotechnics Pub Date : 2024-11-20 DOI:10.1016/j.compgeo.2024.106919
Jun-Hao Wang, Wen-Jie Xu
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Abstract

Rainfall-induced landslides severely threaten to engineering facilities and the safety of people’s lives. However, accurately capturing the complex interactions between hydrology and geomaterials remains challenging, so further research on the mechanism and failure dynamics of rainfall-induced landslides can provide effective support for engineering design and disaster prevention. Due to the insensitivity to mesh distortion, the material point method (MPM) can effectively simulate the large deformation process of geomaterials, but it still faces limitations in computational efficiency and in handling large-scale simulations. In this study, based on the GPU-accelerated MPM software CoSim-MPM, the dynamic grid algorithm (DGA) is developed to overcome the limitations of calculation scale. Then the rainfall hydrological process in slope unit and evolution of mechanical behaviors of the geomaterials are coupled to analyze the influence of rainfall on slope stability. The proposed method can simulate the hydrological process of surface runoff and subsurface infiltration in slope unit, and consider the interaction mechanism between hydrology and geotechnics. Taking a rainfall-induced landslide as an example, which is at a highway dumpsite in Yunnan, China, its stability under natural conditions and failure process under heavy rainfall are simulated. The results indicate that the slope remains stable under natural conditions but suffers failure and large deformation under heavy rainfall. The numerical results are corresponding well with field investigations, which demonstrates that the provided method can well be used to simulate the whole process of rainfall infiltration, moisture migration, stability, deformation and failure of slopes.
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降雨诱发的滑坡的边坡稳定性和破坏动力学:算法与应用
降雨引发的山体滑坡严重威胁着工程设施和人们的生命安全。然而,准确捕捉水文和土工材料之间复杂的相互作用仍然具有挑战性,因此进一步研究降雨诱发滑坡的机理和破坏动力学可以为工程设计和灾害预防提供有效支持。由于对网格畸变不敏感,材料点法(MPM)能有效模拟土工材料的大变形过程,但在计算效率和处理大规模模拟方面仍面临局限。本研究基于 GPU 加速的 MPM 软件 CoSim-MPM,开发了动态网格算法(DGA),以克服计算规模的限制。然后将边坡单元的降雨水文过程与土工材料力学行为的演变耦合起来,分析降雨对边坡稳定性的影响。所提出的方法可以模拟边坡单元内地表径流和地下渗流的水文过程,并考虑水文与岩土力学之间的相互作用机制。以中国云南某公路弃渣场降雨诱发的滑坡为例,模拟了其在自然条件下的稳定性和暴雨下的破坏过程。结果表明,边坡在自然条件下保持稳定,但在强降雨作用下发生崩塌并产生较大变形。数值结果与实地调查结果吻合,说明所提供的方法可以很好地用于模拟边坡的降雨渗透、水分迁移、稳定性、变形和破坏的全过程。
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来源期刊
Computers and Geotechnics
Computers and Geotechnics 地学-地球科学综合
CiteScore
9.10
自引率
15.10%
发文量
438
审稿时长
45 days
期刊介绍: The use of computers is firmly established in geotechnical engineering and continues to grow rapidly in both engineering practice and academe. The development of advanced numerical techniques and constitutive modeling, in conjunction with rapid developments in computer hardware, enables problems to be tackled that were unthinkable even a few years ago. Computers and Geotechnics provides an up-to-date reference for engineers and researchers engaged in computer aided analysis and research in geotechnical engineering. The journal is intended for an expeditious dissemination of advanced computer applications across a broad range of geotechnical topics. Contributions on advances in numerical algorithms, computer implementation of new constitutive models and probabilistic methods are especially encouraged.
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