粘土本构关系的神经网络模型

A Neural Network Model for the Constitutive law of clay

土的本构关系是土力学与工程的一个重要理论和实际问题。本文改变传统的数学建模方法，运用神经网络方法，建立一个粘土的非线性本构关系模型。神经网络方法；较传统方法建模方便，精度提高。

The constitutive law for soils is an important theoretical and practical problem in soil mechanics and engineering. Instead of traditional methods,a neural network method for building the nonlinear constitutive law model of clay is proposed in this paper. The neural network method is more accurate and convenient compared with traditional methods.