一种非饱和土抗剪强度的预测方法  

A METHOD FOR PREDICTING THE SHEAR STRENGTH OF UNSATURATED SOILS

作　　者：骆以道 王钊[2] 范景相 

机构地区：[1]深圳市勘察测绘院,深圳518028 [2]武汉大学土木与建筑学院,武汉430072 [3]山西省公路局,太原030006

出　　处：《大坝观测与土工测试》2001年第6期41-44,共4页Dam Observation and Geotechnical Tests

基　　金：国家自然科学基金(No.59679021)资助项目

摘　　要：本文将人工神经网络（ＡＮＮ）引入岩土工程实际中，建立适当的 ＡＮＮ模型，对运城至三门峡高速公路第十一标段强夯高填方工程中的实测数据进行分析，用含水量，密度等简单易得的实验数据来预测非饱和土的抗剪强度。In this paper. the method of Artificial Neural Networks is put into geotechnical engineering practice, and some suitable ANN models are established fOr analysis of the data measured at a high earth-filling project (using the dynamic consolidation method) in the 11th construction bid--part of the highway from Yuncheng City to Sanmenxia City. The shear strength of unsaturated soils is predicted by use of the data which can be easily obtained. such as water content. density. etc.

关 键 词：非饱和土 抗剪强度 人工神经网络 BP算法 

分 类 号：TU44[建筑科学—岩土工程]