论文题目：Probabilistic seismic displacement hazard assessment of earthen slopes incorporating spatially random soil parameters

作者：Mao-Xin Wang (王茂鑫), Dian-Qing Li (李典庆), Wenqi Du (杜文琪)*

作者单位：

State Key Laboratory of Water Resources and Hydropower Engineering Science, Institute of Engineering Risk and Disaster Prevention, Wuhan University, 299 Bayi Road, Wuhan 430072, China

杂志：Journal of Geotechnical and Geoenvironmental Engineering

DOI: 10.1061/(ASCE)GT.1943-5606.0002671

APA引用格式：Wang, M.X., Li, D.Q., & Du, W. (2021). Probabilistic seismic displacement hazard assessment of earthen slopes incorporating spatially random soil parameters, DOI: 10.1061/(ASCE)GT.1943-5606.0002671.

摘要：

Permanent sliding displacement is a parameter that is widely used to evaluate the seismic performance of earthen slopes, and the inherent variability of soil strength parameters is considered simply by a logic tree in current practice. This study thus proposes a fully probabilistic framework to assess the seismic displacement hazard of earthen slopes by quantifying the inherent spatial variability of soil strength parameters. The framework incorporates the random field theory and a multiple quadratic response surface (MQRS) model into the fully probabilistic seismic sliding displacement hazard analysis. Random field theory is employed to characterize the spatial variability of soil parameters, and the MQRS model is proposed to estimate the yield acceleration (k_y) of slopes in an efficient way. The performance of the proposed framework is demonstrated by slope examples. The results indicate that (1) the predicted k_y values of the MQRS model are comparable with those computed by the traditional pseudostatic procedure, validating its accuracy in applications; (2) slope strength parameters exhibiting a weaker spatial variability (larger scale of fluctuation) yield a larger dispersion of k_y and a larger displacement hazard; (3) a larger displacement hazard is produced for soil parameters exhibiting weaker correlation between cohesion and friction angle. The framework proposed enables one to assess the probabilistic seismic displacement hazard of earthen slopes with proper consideration of the spatial variability of soil parameters.