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The following bibliography contains all publications indexed in this database that are linked with this name as either author, editor or any other kind of contributor.

  1. Li, Ziyi / Qin, Huasong / Wang, Qingfeng / Jia, Liyong / Zhang, Guoqiang / Li, Yushu / Liu, Yilun (2024): Prediction of allowable compression load for notched composite laminates combining FEA simulation and machine learning. In: Composite Structures, v. 340 (July 2024).

    https://doi.org/10.1016/j.compstruct.2024.118188

  2. Wang, Qingfeng / Qin, Huasong / Jia, Liyong / Li, Ziyi / Zhang, Guoqiang / Li, Yushu / Liu, Yilun (2024): Failure prediction and optimization for composite pressure vessel combining FEM simulation and machine learning approach. In: Composite Structures, v. 337 (June 2024).

    https://doi.org/10.1016/j.compstruct.2024.118099

  3. Zhang, Chen / Li, Yushu / Jiang, Biao / Wang, Ruigang / Liu, Yilun / Jia, Liyong (2022): Mechanical Properties Prediction of Composite Laminate with FEA and Machine Learning Coupled Method. In: Composite Structures, v. 299 (November 2022).

    https://doi.org/10.1016/j.compstruct.2022.116086

  4. Jia, Liyong / Zhang, Chen / Hu, Zhiyong / Song, Peihao / Yu, Long / Tang, Changhong (2021): Failure analysis of composite laminates under transverse shear load via XFEM. In: Composite Structures, v. 262 (April 2021).

    https://doi.org/10.1016/j.compstruct.2021.113615

  5. Liao, Binbin / Jia, Liyong / Zhou, Jianwu / Lei, Hongshuai / Gao, Ruxin / Lin, Yuan / Fang, Daining (2020): An explicit–implicit combined model for predicting residual strength of composite cylinders subjected to low velocity impact. In: Composite Structures, v. 247 (September 2020).

    https://doi.org/10.1016/j.compstruct.2020.112450

  6. Yao, Liaojun / Sun, Yi / Guo, Licheng / Zhao, MeiYing / Jia, Liyong / Alderliesten, R. C. / Benedictus, R. (2017): A modified Paris relation for fatigue delamination with fibre bridging in composite laminates. In: Composite Structures, v. 176 (September 2017).

    https://doi.org/10.1016/j.compstruct.2017.05.070

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