RESEARCH ARTICLE
Predicting lateral displacement caused by seismic liquefaction and performing parametric sensitivity analysis: Considering cumulative absolute velocity and fine content
. School of Civil Engineering and Geomatics, Southwest Petroleum University, Chengdu 610500, China.. State Key Laboratory of Coastal and Offshore Engineering, Dalian University of Technology, Dalian 116024, China.. Civil Engineering Discipline, Department of Engineering, International College of Auckland, Auckland 1010, New Zealand
收稿日期：
2021-03-26
录用日期：
2021-04-30
发布日期：
2021-04-30
摘要
Lateral displacement due to liquefaction ( ) is the most destructive effect of earthquakes in saturated loose or semi-loose sandy soil. Among all earthquake parameters, the standardized cumulative absolute velocity ( ) exhibits the largest correlation with increasing pore water pressure and liquefaction. Furthermore, the complex effect o fine content( ) at different values has been studied and demonstrated. Nevertheless, these two contexts have not been entered into empirical and semi-empirical models to predict This study bridges this gap by adding to the data set and developing two artificial neural network (ANN) models. The first model is based on the entire range of the parameters, whereas the second model is based on the samples with values that are less than the 28% critical value. The results demonstrate the higher accuracy of the second model that is developed even with less data. Additionally, according to the uncertainties in the geotechnical and earthquake parameters, sensitivity analysis was performed via Monte Carlo simulation (MCS) using the second developed ANN model that exhibited higher accuracy. The results demonstrated the significant influence of the uncertainties of earthquake parameters on predicting
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