• Bulletin of the Chinese Ceramic Society
  • Vol. 43, Issue 12, 4588 (2024)
YIN Junxi1,2, PENG Shennan1,2, WANG Xinger1,2,*, and YANG Jian1,2
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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    DOI: Cite this Article
    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 Copy Citation Text show less
    References

    [1] HLA P, ZEMANOV A, PLACH T, et al. Experimental modal analysis of glass and laminated glass large panels with EVA or PVB interlayer at room temperature[J]. Materials Today: Proceedings, 2022, 62: 2421-2428.

    [2] WANG X E, YANG J, HUANG X H, et al. Voronoi-FDEM concept for modelling post-fracture response of progressively damaged structural glass[J]. Engineering with Computers, 2022, 38(4): 3025-3038.

    [4] BARALDI D, CECCHI A, FORABOSCHI P. Broken tempered laminated glass: non-linear discrete element modeling[J]. Composite Structures, 2016, 140: 278-295.

    [8] PAN Z F, YANG J, WANG X E, et al. Image-based surface scratch detection on architectural glass panels using deep learning approach[J]. Construction and Building Materials, 2021, 282: 122717.

    [9] ABUEIDDA D W, ALMASRI M, AMMOURAH R, et al. Prediction and optimization of mechanical properties of composites using convolutional neural networks[J]. Composite Structures, 2019, 227: 111264.

    [10] DING X X, HOU X N, XIA M, et al. Predictions of macroscopic mechanical properties and microscopic cracks of unidirectional fibre-reinforced polymer composites using deep neural network (DNN)[J]. Composite Structures, 2022, 302: 116248.

    [11] ZHU Y H, YANG J, WANG X E, et al. Morphological characterization and reconstruction of fractured heat-treated glass[J]. Journal of Non-Crystalline Solids, 2023, 616: 122455.

    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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