Novel perspective of seismic performance-based evaluation and design for resilient and sustainable slope engineering

被引:15
|
作者
Xiong, Min [1 ]
Huang, Yu [1 ,2 ]
机构
[1] Tongji Univ, Dept Geotech Engn, Coll Civil Engn, Shanghai 200092, Peoples R China
[2] Tongji Univ, Key Lab Geotech & Underground Engn, Minist Educ, Shanghai 200092, Peoples R China
关键词
Novel perspective; Performance-based; Evaluation; Design; Resilience; Slope; GROUND MOTIONS; NEURAL-NETWORK; SPATIAL VARIABILITY; EARTH STRUCTURES; SIMULATION; PREDICTION; DISPLACEMENTS; OPTIMIZATION; EVOLUTION; DYNAMICS;
D O I
10.1016/j.enggeo.2019.105356
中图分类号
P5 [地质学];
学科分类号
0709 ; 081803 ;
摘要
The performance-based seismic assessment and design concept has been applied successfully to superstructures. To promote the development and extension of performance-based design (PBD) with regard to slope engineering, this paper systematically summarizes and reviews the latest developments of PBD regarding the seismic performance evaluation of slopes. Additionally, it attempts to offer a perspective with regard to performance levels, earthquake ground motion, nonlinear dynamic analysis, stochastic reliability, and future research directions, and establish a new generation framework for the performance-based design of slopes. Moreover, this paper proposes the introduction of the most recently developed machine learning algorithm into the seismic performance of slope engineering. This algorithm is the stochastic dynamics assessment method, which is based on the most advanced numerical approach and a new generation of PBD approaches, such as the resilience-based design concept.
引用
收藏
页数:9
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