中文摘要：

通过不同含水率下的重塑土三轴固结不排水剪切试验,分别以固结围压和主应力差渐近值作为归一化标准因子,研究应力-应变曲线的归一化特性。在此基础上利用双曲线方程和BP神经网络建立重塑土应力-应变关系的预测模型,并对比两者的预测效果。结果表明：基于BP神经网络建立的预测模型可以考虑初始含水率和固结围压的影响,其拟合和预测精度比基于双曲线方程所建立的预测模型要高。

英文摘要：

Through the consolidated undrained triaxial shear testing of remolded soils with different water contents, the normalized features of stress-strain curves were studied, with consideration of two standard normalized factors： the confining pressure and the ultimate value of principle stress difference. Prediction models of stress-strain curves were established using the hyperbolic equation and the BP neural network, respectively. Comparison of the prediction results of the two models shows that the prediction model based on the BP neural network can take into account the influences of the initial water content and confining pressure and has better fitting and prediction accuracy than that based on the hyperbolic equation.