桂林理工大学学报Issue(1)：63-67,5.DOI:10.3969/j.issn.1674-9057.2014.01.010
砂土地震液化预测的 Bayes判别模型及其应用
Bayes discriminant analysis model for seismic sand liquefaction
摘要
Abstract
Based on the principle of Bayes discriminant analysis and the factors influencing the sand liquefac-tion,the model was applied to the prediction of sand liquefaction with eight factors listed as following:seismic intensity,epicenteral distance,groundwater level,sand depth,blow number of standard penetration test,mean granular diameter,coefficient of nonuniformity,ratio of shearing stress to effective overburden stress.With 2 1 groups of typical sandy soil seismic liquefaction data during Tangshan earthquake as samples,Bayes discrimi-nant analysis model of predicting earthquake liquefaction of sandy soil in Tangshan area is established.Then the model is applied to predict the sand liquefaction through other 9 samples.The results show that the prediction Model of Bayes discriminant analysis has excellent performances with high prediction accuracy.It is an efficient method for the prediction of sand liquefaction and could be applied to practical engineering.关键词
砂土液化/Bayes判别分析/判识指标/判别模型Key words
sand liquefaction/Bayes discriminant analysis/discrimination index/discrimination model分类
建筑与水利引用本文复制引用
张紫昭,陈巨鹏,陈凯,崔春雷..砂土地震液化预测的 Bayes判别模型及其应用[J].桂林理工大学学报,2014,(1):63-67,5.基金项目
中国地质调查局资助项目（1212011120477）；新疆大学天山学者特聘教授科研基金项目（11100213）；新疆维吾尔自治区教育厅自然科学基金项目（XJEDU2013S06）；新疆大学校院联合基金项目 （）
