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Energy-based probabilistic evaluation of soil liquefaction

机译:基于能量的土壤液化概率评估

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摘要

This paper presents a seismic wave energy-based method with back-propagation neural networks to assess the liquefaction probability. An empirical equation and Fourier spectrum of acceleration are employed, respectively, to calculate the seismic wave energy. Discriminant analysis is used to determine the equation of the boundary curve separating the data points with and without liquefaction. The proposed method shows capability in evaluating the probability of soil liquefaction based on the boundary curve and a logarithm normal distribution.
机译:本文提出了一种基于地震波能量的反向传播神经网络方法来评估液化概率。分别使用经验方程和加速度的傅立叶谱来计算地震波能量。判别分析用于确定分离和不分离液化数据点的边界曲线方程。所提出的方法具有基于边界曲线和对数正态分布评估土壤液化可能性的能力。

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