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Siyu Zhao

Lancaster University

Lancaster LA1 4YX

United Kingdom

  • Lancaster University

SCHOLARLY PAPERS

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Scholarly Papers (1)

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Stress Field Prediction of Unidirectional Fibre-Reinforced Polymer Composites Using Convolutional Neural Network (Cnn) Trained on Physically Meaningful Data

Downloads 67 (899,324)

Stress Field Prediction of Unidirectional Fibre-Reinforced Polymer Composites Using Convolutional Neural Network (Cnn) Trained on Physically Meaningful Data

Number of pages: 32 Posted: 31 May 2025
Siyu Zhao, Xiaoxuan Ding, Jianqiao Ye and Xiaonan Hou
Lancaster University, affiliation not provided to SSRN, Lancaster University and Lancaster University
Downloads 41 (1,196,631)

Abstract:

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Machine learning, Discrete Element method (DEM), Composite laminates, Stress field, physically meaningful data.

Stress Field Prediction of Unidirectional Fibre-Reinforced Polymer Composites Using Convolutional Neural Network (Cnn) Trained on Physically Meaningful Data

Number of pages: 32 Posted: 28 May 2025
Siyu Zhao, Xiaoxuan Ding, Jianqiao Ye and Xiaonan Hou
Lancaster University, affiliation not provided to SSRN, Lancaster University and Lancaster University
Downloads 18 (1,525,626)

Abstract:

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Machine learning, Discrete Element method (DEM), Composite laminates, Stress field, physically meaningful data.

Stress Field Prediction of Unidirectional Fibre-Reinforced Polymer Composites Using Convolutional Neural Network (Cnn) Trained on Physically Meaningful Data

Number of pages: 32 Posted: 28 May 2025
Siyu Zhao, Xiaoxuan Ding, Jianqiao Ye and Xiaonan Hou
Lancaster University, affiliation not provided to SSRN, Lancaster University and Lancaster University
Downloads 8 (1,621,812)

Abstract:

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Machine learning, Discrete Element method (DEM), Composite laminates, Stress field, physically meaningful data.