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Predictive Models for Earthquake Response of Clay and Sensitive Clay Slopes

机译:黏土和敏感黏土边坡地震反应的预测模型

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摘要

Earthquake-induced permanent displacement and shear strain are suitable indicators in assessing the seismic stability of slopes. In this paper, predictive models for the permanent displacement and shear strain as functions of the characteristics of the slope (e.g. factor of safety) and the ground motion (e.g. peak ground acceleration) are proposed. The predicted models are based on numerical simulations of seismic response of infinite slopes with realistic soil profiles and geometry parameters. Predictive models are developed for clay and sensitive clay slopes. A strain-softening soil model is used for sensitive clays. A comparison of the permanent displacement and strain predictions for clay and sensitive clays reveals that the displacement and shear strains are larger for sensitive clays for the same slope geometry and similar earthquake loading conditions. A comparison of the displacement predictive model with other predictive models published recently reveals that the displacement predictions of the proposed model fall into the low estimate bound for soft slopes and into the high estimate bound for stronger slopes. Permanent displacements from a limited number of 2D FE analyses and from predictive models compare well; however, the predictive model for shear strain tends to overly estimate the shear strains. This is a typical effect of 2D geometry, which represents a conservative situation. As the size of the slope increases, this effect is diminished, and the 2D results tend more to the 1D results as captured by the predictive models developed in this paper.
机译:地震引起的永久位移和剪切应变是评估斜坡地震稳定性的合适指标。在本文中,提出了永久位移和剪应变与边坡特征(例如安全系数)和地面运动(例如峰值地面加速度)有关的预测模型。预测模型基于具有实际土壤剖面和几何参数的无限边坡地震响应的数值模拟。针对粘土和敏感粘土边坡开发了预测模型。应变软化土壤模型用于敏感黏土。对黏土和敏感黏土的永久位移和应变预测的比较表明,在相同坡度和相似地震荷载条件下,敏感黏土的位移和剪切应变较大。将位移预测模型与最近发布的其他预测模型进行比较,结果表明,所提出模型的位移预测属于软斜坡的较低估计范围,而较强斜坡的估计范围较高。来自有限数量的2D FE分析和预测模型的永久位移比较良好;然而,剪切应变的预测模型往往会过度估计剪切应变。这是2D几何的典型效果,代表保守的情况。随着坡度大小的增加,这种影响会减弱,并且2D结果趋向于1D结果,正如本文开发的预测模型所捕获的那样。

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