期刊
BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT
卷 80, 期 10, 页码 7423-7439出版社
SPRINGER HEIDELBERG
DOI: 10.1007/s10064-021-02422-z
关键词
Slope reliability; Slope risk; Spatial variability; Random field element size; Monte Carlo simulation
资金
- National Natural Science Foundation of China [51909288, 52109144]
- Guangdong Provincial Department of Science and Technology [2019ZT08G090]
- Open Innovation Fund of Changjiang Institute of Survey, Planning, Design and Research [CX2020K07]
This study systematically investigates the influence of RFE size on statistics of factor of safety (FS) and sliding mass (SM) distribution, critical slip surfaces, reliability, and risk of slopes, showing that the RFE sizes have a relatively larger influence on the distribution of SM than that of FS, tending to overestimate slope failure probability and risk with larger RFE sizes.
Slope reliability analyses considering spatially variable soil properties generally necessitate a discretization of a slope region into disjoint zones called random field elements (RFEs). Few efforts have been devoted to investigating the effect of RFE size on the assessment of reliabilities and risks of slopes possibly due to the huge computational burdens associated with a small RFE size. This study systematically investigates the influence of RFE size on statistics of factor of safety (FS) and sliding mass (SM), distribution of critical slip surfaces, reliability, and risk of slopes. As the size of RFE is small, a stepwise covariance matrix decomposition method (CMDM) is used to effectively simulate the random field of the shear strength parameter. This stepwise CMDM is justified using a simple and straightforward method. Monte Carlo simulation (MCS) is employed to estimate the probability of failure and risk of slopes. Three cohesive slopes are adopted to investigate the effect of RFE size on the statistics of FS and SM, distribution of critical slip surfaces, system reliability, and risk of the slope. It is shown that the RFE size has a relatively larger influence on the distribution of SM than that of FS. A relatively larger size of RFE tends to overestimate the slope failure probability and risk. The critical size of RFE required for an accurate evaluation of the statistics of FS and SM is smaller than that required for the evaluation of failure probability and risk.
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