地质学
打滑(空气动力学)
峰值地面加速度
流离失所(心理学)
岩土工程
有限元法
边坡稳定性
地震灾害
震级(天文学)
地震学
地震动
大地测量学
结构工程
工程类
物理
航空航天工程
心理学
心理治疗师
天文
作者
Youngkyu Cho,Ellen M. Rathje
出处
期刊:Journal of Geotechnical and Geoenvironmental Engineering
[American Society of Civil Engineers]
日期:2022-02-14
卷期号:148 (4)
被引量:22
标识
DOI:10.1061/(asce)gt.1943-5606.0002757
摘要
A generic predictive model of earthquake-induced slope displacement subjected to shallow crustal earthquake events is developed using displacements computed from finite-element (FE) analysis. The maximum displacement on the slope surface at the end of shaking was computed by nonlinear FE simulations for 49 slope models each subjected to 1051 earthquake motions. A unified predictive model of seismic displacement is developed that characterizes the slope in terms of its yield acceleration (ky), the depth of the slip surface relative to the height of the slope (Hratio), and the natural period of the full slope height (Tslope). Across five intensity measures and 10 combinations of intensity measures, peak ground velocity (PGV) is found to be the most efficient parameter for the displacement prediction, leading to significantly smaller aleatory variability. The displacement variability is partitioned into two components: between-slope variability, which represents the variability associated with different slope models, and within-slope variability, which represents the variability due to different input ground motions. The developed generic predictive model can be applied to the probabilistic seismic hazard analysis of slope movements and used for deterministic earthquake scenarios in the design/analysis process.
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