摘要
土的本构关系相当复杂,受诸多因素影响,这给土的本构关系模型的建立带来很大困难。提出了土非线性本构关系神经网络模型。该模型考虑了p对剪应变和q对体应变的影响,可有效地反映土的剪缩或剪胀现象,同时建模方便,直接利用三轴试验结果对网络进行训练来确定模型参数。此外,将该模型纳入了有限元程序。
The neural network model of soil is proposed to show the influence of p on shear strain and q on volume strain. Hence the volumetric expansion and shrinkage caused by shear stress can be reflected. At the same time, this model can be set up conveniently, in which the parameters of network can be directly determined by training the network with the results of triaxial compression tests. In addition, this model is introduced into FEM program. The settlements of a foundation are calculated by using neural network model, which demonstrated the effectiveness of the neural network model.
出处
《岩石力学与工程学报》
EI
CAS
CSCD
北大核心
2001年第6期805-808,共4页
Chinese Journal of Rock Mechanics and Engineering
关键词
土
本构关系
神经网络模型
非线性
基础沉降
Compression testing
Finite element method
Mathematical models
Neural networks
Shear stress
Shrinkage
Strain