RIA: Neural Network Analysis of Granular Fabric

本研究的目的是建立一个基于载荷、土体结构、应力场和应力历史的神经网络，以模拟颗粒土中的应力扩散。要研究的荷载包括基础和横向荷载桩。光弹性实验研究将用于验证结果。这样一个经过训练的网络不仅能够复制学习过的例子，而且通过它的泛化能力，还能够找到以前没有遇到过的一系列问题的解决方案。

The objective of this research is is to develop a neural network trained from numerical simulations to model the stress diffusion in a granular soil based on the loading, soil fabric, stress field and stress history. Loadings to be studied include footings and laterally loaded piles. A photoelastic experimental study will be used to to verify results. Such a trained network would not only be able to reproduce the examples from which it was taught, but through its ability to generalize it, would also be able to find solutions to an entire set of problems that it has not previously encountered.