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首页> 外文期刊>High temperature materials and processes >Computation of the Thermal Residual Stresses in SiC/SiC Composites with Multi-Layered Interphases by Using ANN with the Structure of Random Forest
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Computation of the Thermal Residual Stresses in SiC/SiC Composites with Multi-Layered Interphases by Using ANN with the Structure of Random Forest

机译：随机森林结构的人工神经网络计算多层相间SiC / SiC复合材料的热残余应力

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摘要

In this paper, a hybrid strategy incorporating finite element computation, artificial neural network (ANN) method and Random Forest (RF) algorithm is proposed for computation of the thermal residual stresses (TRS) in SiC/SiC composites with multi-layered interphases. The finite element method is adopted to calculate the TRS of the unidirectional SiC/SiC composites. The ANN with the structure of Random Forest (RFANN) is employed to approximate the non-linear relationship between the multi-layered interphases thicknesses and the TRS of the SiC/SiC composites. The well-trained RFANN is finally used to compute the TRS of a unidirectional SiC/SiC composite with six layers of interphases.
机译：本文提出了一种结合有限元计算，人工神经网络（ANN）方法和随机森林（RF）算法的混合策略，用于计算多层相间SiC / SiC复合材料的热残余应力（TRS）。采用有限元法计算了单向SiC / SiC复合材料的TRS。采用具有随机森林结构（RFANN）的ANN近似估算SiC / SiC复合材料的多层相间厚度与TRS之间的非线性关系。训练有素的RFANN最终用于计算具有六相界面的单向SiC / SiC复合材料的TRS。

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