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Influence of soil spatial variability and stochastic Ground-Motion on the dynamic behavior of a slope

机译:土壤空间变异和随机地面运动对边坡动力特性的影响

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A probabilistic dynamic approach is used for the slope stability analysis. In this approach, the effect of both the soil spatial variability and the variability of the Ground-Motion (GM) time history on the dynamic responses (amplification, permanent displacement) are studied and discussed. The soil shear modulus G is considered as an isotropic non-Gaussian random field. The simulation of random acceleration time histories based on a real target accelerogram is done using a fully nonstationary stochastic model in both the time and the frequency domains. The deterministic model is based on numerical simulations. An efficient uncertainty propagation methodology which builds up a sparse polynomial chaos expansion for the dynamic responses is used. The probabilistic numerical results have shown that: (i) the decrease in the autocorrelation distance of the shear modulus leads to a small variability of the dynamic responses; (ii) the randomness of the earthquake GM has a significant influence on the variability of the dynamic responses; (iii) the probabilistic mean values of the dynamic responses are more critical than the deterministic ones.
机译:概率动力学方法用于边坡稳定性分析。在这种方法中,研究和讨论了土壤空间变异性和地面运动(GM)时间历史的变异性对动力响应(放大,永久位移)的影响。土壤剪切模量G被认为是各向同性的非高斯随机场。基于真实目标加速度图的随机加速时间历史记录的仿真是在时域和频域中使用完全非平稳随机模型进行的。确定性模型基于数值模拟。使用了一种有效的不确定性传播方法,该方法为动态响应建立了一个稀疏的多项式混沌扩展。概率数值结果表明:(i)剪切模量的自相关距离的减小导致动力响应的较小变化; (ii)地震转基因的随机性对动力响应的变异性有重大影响; (iii)动态响应的概率均值比确定性均值更为关键。

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