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Displacement hazard curves derived from slope-specific predictive models of earthquake-induced displacement
Soil Dynamics and Earthquake Engineering ( IF 4.2 ) Pub Date : 2020-11-01 , DOI: 10.1016/j.soildyn.2020.106367
Youngkyu Cho , Ellen M. Rathje

Abstract Probabilistic hazard curves for earthquake-induced permanent slope displacements incorporate the important variabilities associated with predictions of slope movements, such that a rational assessment of slope performance can be obtained. To date, displacements estimated from sliding block analyses predominantly have been used to compute displacement hazard curves, despite the fact that nonlinear finite element analysis is becoming the preferred method to evaluate the performance of slopes. This paper extends the probabilistic approach for use with displacements from finite element analyses. We develop slope-specific displacement prediction models using displacements computed by nonlinear finite element analyses. Various models are developed that utilize different ground motion intensity measures and each model is used to compute a displacement hazard curve for a site in Northern California. The computed hazard curves reveal that the different models generate a large range of epistemic uncertainty, and the model with the smallest standard deviation does not necessarily predict the smallest displacement hazard due to the influence of the shape of the ground motion hazard curve and of the displacement model. As a result, multiple displacement models that incorporate different intensity measures should be considered in any assessment of the seismic performance of slopes, in the same way that multiple ground motion models are incorporated into ground motion hazard analyses.

中文翻译:

从地震诱发位移的特定斜坡预测模型得出的位移危险曲线

摘要 地震引起的永久边坡位移的概率危险曲线包含与边坡运动预测相关的重要变量,因此可以获得对边坡性能的合理评估。迄今为止,尽管非线性有限元分析正成为评估边坡性能的首选方法,但通过滑块分析估计的位移主要用于计算位移风险曲线。本文扩展了概率方法,用于有限元分析中的位移。我们使用非线性有限元分析计算的位移来开发特定于斜坡的位移预测模型。开发了各种模型,利用不同的地面运动强度测量,每个模型都用于计算北加利福尼亚州一个地点的位移危险曲线。计算的危险曲线表明,不同的模型产生了很大范围的认知不确定性,由于地震动危险曲线形状和位移的影响,具有最小标准差的模型不一定预测最小的位移危险。模型。因此,在评估边坡的抗震性能时,应考虑包含不同强度措施的多个位移模型,就像将多个地震动模型纳入地震动危害分析一样。计算的危险曲线表明,不同的模型产生了很大范围的认知不确定性,由于地震动危险曲线形状和位移的影响,具有最小标准差的模型不一定预测最小的位移危险。模型。因此,在评估边坡的抗震性能时,应考虑包含不同强度措施的多个位移模型,就像将多个地震动模型纳入地震动危害分析一样。计算的危险曲线表明,不同的模型产生了很大范围的认知不确定性,由于地震动危险曲线形状和位移的影响,具有最小标准差的模型不一定预测最小的位移危险。模型。因此,在评估边坡的抗震性能时,应考虑包含不同强度措施的多个位移模型,就像将多个地震动模型纳入地震动危害分析一样。由于地震动危险曲线形状和位移模型的影响,标准差最小的模型不一定能预测出最小的位移危险。因此,在评估边坡的抗震性能时,应考虑包含不同强度措施的多个位移模型,就像将多个地震动模型纳入地震动危害分析一样。由于地震动危险曲线形状和位移模型的影响,标准差最小的模型不一定能预测出最小的位移危险。因此,在评估边坡的抗震性能时,应考虑包含不同强度措施的多个位移模型,就像将多个地震动模型纳入地震动危害分析一样。
更新日期:2020-11-01
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