岩土力学2024，Vol.45Issue(5)：1423-1434,12.DOI:10.16285/j.rsm.2023.0917
强降雨对库岸堆积体边坡稳定性影响的离心模型试验和数值模拟研究
Centrifugal modeling and numerical simulation on stability of reservoir bank accumulation slope caused by heavy rainfall
摘要
Abstract
The accumulation body is extensively distributed in the valley area of major rivers in southwest China,and its stability directly impacts the safety and stability of dams during rainfall conditions.To study the geological evolution and disaster processes of landslides during rainfall events,a centrifugal model test system is designed to simulate heavy rainfall on the slope of a reservoir bank,with a focus on investigating the induced instability of the accumulation body at full storage capacity.Following the test results,additional numerical simulation is carried out to analyze the influence of rainfall intensity,reservoir level state and permeability of accumulation body on slope stability.The results indicate that during the reservoir storage stage,the slope front of the accumulation body experiences reduced resistance to sliding due to buoyancy and water softening.However,osmotic pressure exerted on the slope body also contributes to its strengthening.The cracks formed at the rear edge as a result of these two competing mechanisms significantly influence the development of slope deformation during the rainfall stage.Rainfall primarily leads to surface erosion and runoff on the slope,with a small portion infiltrating through cracks,resulting in shallow subsidence of the rear margin.If the slope is left untreated,it is likely to experience overall failure.Therefore,addressing the cracks at the rear edge of the bank slope is crucial for preventing and controlling geological hazards.关键词
离心模型试验/降雨/堆积体边坡/滑动机制/数值模拟Key words
centrifugal modeling tests/rainfall/accumulation slope/failure mechanism/numerical simulation分类
建筑与水利引用本文复制引用
陈磊,张强,贾朝军,雷明锋,黄娟,胡晶..强降雨对库岸堆积体边坡稳定性影响的离心模型试验和数值模拟研究[J].岩土力学,2024,45(5):1423-1434,12.基金项目
国家自然科学基金项目(No.52008403) （No.52008403）
中国水利水电科学研究院基本科研专项项目(No.GE110145B0012023).This work was supported by the National Natural Science Foundation of China(52008403)and the Basic Research Project of China Institute of Water Resources and Hydropower Research(GE110145B0012023). （No.GE110145B0012023）
