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Energy-based probabilistic evaluation of soil liquefaction
AbstractThis 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.
Energy-based probabilistic evaluation of soil liquefaction
AbstractThis 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.
Energy-based probabilistic evaluation of soil liquefaction
Chen, Y.R. (author) / Hsieh, S.C. (author) / Chen, J.W. (author) / Shih, C.C. (author)
Soil Dynamics and Earthquake Engineering ; 25 ; 55-68
2004-07-06
14 pages
Article (Journal)
Electronic Resource
English
Energy-based probabilistic evaluation of soil liquefaction
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