Reliability parameter back analysis of bedding rock slope with multi-layer slide surfaces

被引：0
作者：
Shi Zuo
Lianheng Zhao
Hanhua Tan
Liang Li
Dongping Deng
Zhichen Song
机构：
[1] Central South University,School of Civil Engineering
[2] Central South University,Key Laboratory of Heavy
[3] Central South University,Haul Railway Engineering Structure, Ministry of Education
[4] Guizhou Province Quality and Safety Traffic Engineering Monitoring and Inspection Center Co.,Hunan Provincial Key Laboratory for Disaster Prevention and Mitigation of Rail Transit Engineering Structure
[5] Ltd,undefined
来源：
Bulletin of Engineering Geology and the Environment | 2021年 / 80卷
关键词：
Bedding rock slope; Shear strength parameters; Interlayer shear effect; Reliability-based back analysis; Upper-bound limit analysis;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Bedding slope is one of the most common forms of landslides, and determining the shear strength parameters of the sliding surface is essential for the slope stability analysis and engineering design. Due to the different values of shear strength parameters of different sliding surfaces and the existence of the interlayer shear effect during sliding, it is difficult to determine the shear strength parameters of the bedding slope with the multi-layer sliding surface, especially when the multi-layer sliding mass slides at different speeds at the same time. Therefore, the back analysis method combined with the upper-bound limit analysis method with reliability theory is proposed to back-analyze the shear strength parameters of the multi-layer sliding surface simultaneously. By analyzing three practical landslides in detail, the feasibility and applicability of the proposed method are validated. This method enables one to incorporate the effects of uncertainty and randomness of the parameters, and consider the interlayer shear effect, thus obtaining the most likely shear strength parameter combination and providing a reference for the strength parameter back analysis of bedding slopes based on the reliability theory.
引用
收藏
页码：7227 / 7239
页数：12
相关论文
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