Probabilistic analysis of ultimate seismic bearing capacity of strip foundations  

作　　者：Adam Hamrouni Badreddine Sbartai Daniel Dias 

机构地区：[1]Laboratory InfraRes,Mohammed Cherif Messaadia University,Souk-Ahras,Algeria [2]Department of Civil Engineering,Badji Mokhtar-Annaba University,Annaba,Algeria [3]Laboratory LMGHU,Skikda University,Skikda,Algeria [4]School of Automotive and Transportation Engineering,Hefei University of Technology,Hefei,230009,China [5]Grenoble Alpes University,Laboratory 3SR,Grenoble,France

出　　处：《Journal of Rock Mechanics and Geotechnical Engineering》2018年第4期717-724,共8页岩石力学与岩土工程学报（英文版）

基　　金：the Ministry of Higher Education and Scientific Research of Algeria for supporting this work by offering an 11-month scholarship to the first author at the 3SR laboratory of Grenoble Alpes University,France

摘　　要：This paper presents a reliability analysis of the pseudo-static seismic bearing capacity of a strip foundation using the limit equilibrium theory. The first-order reliability method(FORM) is employed to calculate the reliability index. The response surface methodology(RSM) is used to assess the Hasofer e Lind reliability index and then it is optimized using a genetic algorithm(GA). The random variables used are the soil shear strength parameters and the seismic coefficients(khand kv). Two assumptions(normal and non-normal distribution) are used for the random variables. The assumption of uncorrelated variables was found to be conservative in comparison to that of negatively correlated soil shear strength parameters. The assumption of non-normal distribution for the random variables can induce a negative effect on the reliability index of the practical range of the seismic bearing capacity.This paper presents a reliability analysis of the pseudo-static seismic bearing capacity of a strip foundation using the limit equilibrium theory. The first-order reliability method(FORM) is employed to calculate the reliability index. The response surface methodology(RSM) is used to assess the Hasofer e Lind reliability index and then it is optimized using a genetic algorithm(GA). The random variables used are the soil shear strength parameters and the seismic coefficients(k_h and k_v). Two assumptions(normal and non-normal distribution) are used for the random variables. The assumption of uncorrelated variables was found to be conservative in comparison to that of negatively correlated soil shear strength parameters. The assumption of non-normal distribution for the random variables can induce a negative effect on the reliability index of the practical range of the seismic bearing capacity.

关 键 词：Strip foundations Seismic bearing capacity First-order reliability method (FORM) Response surface methodology (RSM) RELIABILITY Genetic algorithm (GA) 

分 类 号：O3[理学—力学]