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Predicting lateral displacement caused by seismic liquefaction and performing parametric sensitivity analysis:Considering cumulative absolute velocity and fine content

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Frontiers of Structural and Civil Engineering 2021年第2期15卷 506-519页

作者： Nima PIRHADI Xiaowei TANG Qing YANG Afshin ASADI Hazem Samih MOHAMED School of Civil Engineering and Geomatics Southwest Petroleum UniversityChengdu 610500China State Key Laboratory of Coastal and Offshore Engineering Dalian University of TechnologyDalian 116024China Civil Engineering Discipline Department of EngineeringInternational College of AucklandAuckland 1010New Zealand

Lateral displacement due to liquefaction(D_(H))is the most destructive effect of earthquakes in saturated loose or semi-loose sandy *** all earthquake parameters,the standardized cumulative absolute velocity(CAV_(5))exhibits the largest correlation with increasing pore water pressure and ***,the complex effect of fine content(FC)at different values has been studied and ***,these two contexts have not been entered into empirical and semi-empirical models to predict D_(H)This study bridges this gap by adding CAV_(5)to the data set and developing two artificial neural network(ANN)*** first model is based on the entire range of the parameters,whereas the second model is based on the samples with FC values that are less than the 28%critical *** results demonstrate the higher accuracy of the second model that is developed even with less ***,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 *** results demonstrated the significant influence of the uncertainties of earthquake parameters on predicting D_(H).

关键词： lateral spreading displacement cumulative absolute velocity fine content artificial neural network sensitivity analysis Monte Carlo simulation

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