基于Monte Carlo的砂土地震液化危害概率分析方法
|
摘要
针对砂土地震液化危害具有随机性和不确定性,提出了砂土地震液化危害的概率分析方法,即用概率表示不液化、轻微液化、中等液化和严重液化,并给出了采用Monte Carlo法(蒙托卡罗法)计算液化危害概率的表达式。采用该方法对一算例进行了分析,认为概率分析方法能较清楚地反映液化危害程度。
As the hazard of sand seismic liquefaction is random, a probability method for assessing the hazard is proposed, that is, non-liquefaction, light liquefaction, middle liquefaction, and serious liquefaction are quantified with probability. The expressions to compute the liquefaction hazard probability are also proposed by the method of Monte Carlo. A case is analyzed by the probability method and the result shows that the probability method can be used to quantitatively assess the liquefaction hazard.
As the hazard of sand seismic liquefaction is random, a probability method for assessing the hazard is proposed, that is, non-liquefaction, light liquefaction, middle liquefaction, and serious liquefaction are quantified with probability. The expressions to compute the liquefaction hazard probability are also proposed by the method of Monte Carlo. A case is analyzed by the probability method and the result shows that the probability method can be used to quantitatively assess the liquefaction hazard.
引文
[1] AnthonyT.C.Goh.Probabilistic neural network for evalu ating seismic liquefaction potential[J].Can.Geotech.J.2002,39:219-212
[2] DeStefano,A.,Sabia,D., andSabia,L..Probabilisticneural networks for seismic damage mechanisms prediction[J ].EarthquakeEngineering andStructuralDynamic,1999,28(8):807-821
[3] Liao,S.C.,Veneziano,D., andWhitman,R.V..Re gression models for evaluating liquefaction probability[J].Journal ofGeotechnicalEngineering,ASCE,1988,114(4):389-411
[4] Lu,M.,Abourizk,S.M., andHermann,U.H..Esti mating labor productivity using probability inference neuralnetwork.Journal ofComputing inCivilEngineering[J],ASCE,2000,14(4):241-248
[5] 李丛蔚,李广杰.在砂土液化的危险性评价中确定性与不确定性方法的应用研究[J].长春科技大学学报,2001,31(2):160-162
[6] 汪明武,李丽,罗国煜.基于MonteCarlo模拟的砂土液化评估研究[J].工程地质学报,2001,09(02):214-217
[7] GB50011-2001,建筑抗震设计规范[S].北京:中国建筑工业出版社,2002
[8] GB50021-2001,岩土工程勘察规范[S].北京:中国建筑工业出版社,2002
[9] DGJ08-11-2002,地基基础设计规范[S].2003
[10] 朱百里,沈珠江.计算土力学[M].上海:上海科学技术出版社,1990
[11] 高大钊.土力学可靠性原理[M].北京:中国建筑工业出版社,1989
[2] DeStefano,A.,Sabia,D., andSabia,L..Probabilisticneural networks for seismic damage mechanisms prediction[J ].EarthquakeEngineering andStructuralDynamic,1999,28(8):807-821
[3] Liao,S.C.,Veneziano,D., andWhitman,R.V..Re gression models for evaluating liquefaction probability[J].Journal ofGeotechnicalEngineering,ASCE,1988,114(4):389-411
[4] Lu,M.,Abourizk,S.M., andHermann,U.H..Esti mating labor productivity using probability inference neuralnetwork.Journal ofComputing inCivilEngineering[J],ASCE,2000,14(4):241-248
[5] 李丛蔚,李广杰.在砂土液化的危险性评价中确定性与不确定性方法的应用研究[J].长春科技大学学报,2001,31(2):160-162
[6] 汪明武,李丽,罗国煜.基于MonteCarlo模拟的砂土液化评估研究[J].工程地质学报,2001,09(02):214-217
[7] GB50011-2001,建筑抗震设计规范[S].北京:中国建筑工业出版社,2002
[8] GB50021-2001,岩土工程勘察规范[S].北京:中国建筑工业出版社,2002
[9] DGJ08-11-2002,地基基础设计规范[S].2003
[10] 朱百里,沈珠江.计算土力学[M].上海:上海科学技术出版社,1990
[11] 高大钊.土力学可靠性原理[M].北京:中国建筑工业出版社,1989
版权所有：© 2023 中国地质图书馆 中国地质调查局地学文献中心