Bulletin of the Chinese Ceramic Society, Volume. 43, Issue 12, 4588(2024)

Fast Evaluation Method for Post-Fracture Tensile Properties of Laminated Glass Based on Convolutional Neural Network

YIN Junxi1...2, PENG Shennan1,2, WANG Xinger1,2,*, and YANG Jian12 |Show fewer author(s)
Author Affiliations
  • 1State Key Laboratory of Ocean Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
  • 2Shanghai Key Laboratory for Digital Maintenance of Buildings and Infrastructure, School of Ocean and Civil Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
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    YIN Junxi, PENG Shennan, WANG Xinger, YANG Jian. Fast Evaluation Method for Post-Fracture Tensile Properties of Laminated Glass Based on Convolutional Neural Network[J]. Bulletin of the Chinese Ceramic Society, 2024, 43(12): 4588

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    Paper Information

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    Received: Jul. 9, 2024

    Accepted: Jan. 10, 2025

    Published Online: Jan. 10, 2025

    The Author Email: Xinger WANG (matseyo@sjtu.edu.cn)

    DOI:

    CSTR:32186.14.

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