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Skip to Search Results- 2Finite element analysis
- 1Axial crushing
- 1Composite materials
- 1Convolutional neural network
- 1Deep learning
- 1Full-field stress prediction
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A finite element-convolutional neural network model (FE-CNN) for stress field analysis around arbitrary inclusions
Download2023-11-01
Rezasefat, Mohammad, Hogan, James D.
This study presents a data-driven finite element-machine learning surrogate model for predicting the end-to-end full-field stress distribution and stress concentration around an arbitrary-shaped inclusion. This is important because the model’s capacity to handle large datasets, consider...
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Axial crushing of circular thin-walled specimens made of CFRP using progressive failure model (MAT54) in LS-Dyna
Download2023-01-01
Kumar, Yogesh, Rezasefat, Mohammad, Hogan, James D.
This research focuses on calibrating the MAT54 (ENHANCEDCOMPOSITEDAMAGE) material card in LS-Dyna for simulating axial crushing of circular thin-walled specimens made of CFRP. An IM7/8552 composite specimen showing the layup sequence of [902/±452/02]2 was simulated in LS-Dyna using shell...