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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.
- Source :
- High Temperature Materials & Processes; Nov2018, Vol. 37 Issue 9/10, p987-994, 8p
- Publication Year :
- 2018
-
Abstract
- 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. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 03346455
- Volume :
- 37
- Issue :
- 9/10
- Database :
- Complementary Index
- Journal :
- High Temperature Materials & Processes
- Publication Type :
- Academic Journal
- Accession number :
- 132824425
- Full Text :
- https://doi.org/10.1515/htmp-2017-0126