基于BP神经网络软粘土循环强度的数值模拟  

COUPLING ANALYSIS OF CYCLIC STRENGTH FOR SOFT CLAY BY NUMERICALSIMULATING AND BP NEURAL NETWORKS

作　　者：李驰[1] 

机构地区：[1]内蒙古工业大学学院,呼和浩特010051

出　　处：《中国海洋平台》2009年第1期21-23,35,共4页China offshore Platform

基　　金：*内蒙古自治区高等学校科学研究项目;项目批准号:NJ06071

摘　　要：通过循环三轴试验建立了软粘土循环强度预测模型,并通过循环扭剪试验检验模型的稳定性。在将软粘土循环强度的预测值与其数值模拟结果进行比较后,提出了预测软粘土循环强度的数值模拟和BP神经网络耦合分析方法。A cyclic strength prediction model of soft clay is established through lots of cyclic triaxial test results. And the stability is tested with some cyclic torsional shear test results. The prediction results are compared with numerical simulating solutions, and then a coupling analysis is suggested to predict cyclic strength of soft clay based on BP neural network and numerical simulating method.

关 键 词：岩土动力学 耦合分析 神经网络 数值模拟 循环强度预测 软粘土 

分 类 号：TU443[建筑科学—岩土工程]