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A Mechanics-Informed Artificial Neural Network Approach in Data-Driven Constitutive Modeling 学习
2022-06-11 19:52:00 【构建的乐趣】
这篇文章聚焦于神经网络捕捉本构。上图右面是神经网络预测数据和线性本构预测数据的比较，缺失实验数据，确实非常可惜。
具体来讲就是用神经网络去捕捉本构，那么怎么去捕捉呢？
第一段的这个介绍非常好，
说明了这个两种办法，预测本构的办法。
其实原理非常简单，让神经网络拟合这样一个模型，将应变状态映射到应力状态。（见上图）
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