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Stochastic analysis of ground response using non-recursive algorithm

机译:基于非递归算法的地面响应随机分析

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During an earthquake, the amplitudes of seismic wave may amplify significantly as it propagates through the soil layers near the ground surface. Analysis of site amplification potential is strongly influenced by the uncertainty associated to the definition of soil thickness and its properties. In this paper, the non-recursive algorithm is used in linear and nonlinear Hybrid Frequency Time Domain (HFTD) approaches for stochastic analysis of site amplification. The non-recursive algorithm causes time reduction of analysis that is the essential base of stochastic analysis. The selected soil stochastic parameters are shear wave velocity, density, damping and thickness. The results of sensitivity analysis also show that the damping ratio is the most effective parameter in PGA at ground surface. The stochastic peak ground acceleration, response spectrum and amplification factor at the ground surface are determined by the two approaches for four sites with different average shear wave velocities. Comparison of the results shows that the nonlinear HI. ID approach predicts closer response to real recorded data with respect to linear HFTD.(C) 2014 Elsevier Ltd. All rights reserved.
机译:在地震期间,地震波的振幅会通过地表附近的土壤层传播,因此可能会大大放大。场地放大潜力的分析在很大程度上取决于与土壤厚度及其性质的定义相关的不确定性。本文将非递归算法用于线性和非线性混合频域时域(HFTD)方法中,以进行站点扩增的随机分析。非递归算法可减少分析时间,这是随机分析的重要基础。选择的土壤随机参数是剪切波速度,密度,阻尼和厚度。灵敏度分析结果还表明,阻尼比是PGA地面最有效的参数。两种方法对平均剪切波速度不同的四个地点,确定了地面随机峰值加速度,响应谱和放大因子。比较结果表明非线性HI。 ID方法可预测线性HFTD对实际记录数据的更紧密响应。(C)2014 Elsevier Ltd.保留所有权利。

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