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Die folgende Bibliografie enthält alle in dieser Datenbank indizierten Veröffentlichungen, die mit diesem Namen als Autor, Herausgeber oder anderweitig Beitragenden verbunden sind.

  1. Peng, Kang / Zhou, Wangbao / Jiang, Lizhong / Xiong, Lijun / Yan, Wang-Ji (2025): Multimodal fusion hybrid neural network approach for multi-class damage classification in high-speed rail track-bridge systems with multi-parameter. In: Engineering Structures, v. 328 (April 2025).

    https://doi.org/10.1016/j.engstruct.2025.119710

  2. Zhou, Wangbao / Xiong, Lijun / Jiang, Lizhong: Multi-Parameter Seismic Fragility Analysis of High-Speed Railway Track-Bridges: Embracing Structural and Earthquake Uncertainties. In: International Journal of Structural Stability and Dynamics.

    https://doi.org/10.1142/s0219455426300016

  3. Zhou, Wangbao / Xiong, Lijun / Jiang, Lizhong (2025): New parameter updating method for bidirectional simplified seismic models of high-speed railway bridges. In: Structures, v. 71 (Januar 2025).

    https://doi.org/10.1016/j.istruc.2024.107959

  4. Xiong, Lijun / Zhou, Wangbao / Jiang, Lizhong (2025): Seismic risk transfer in multi-span simply supported beam bridges for high-speed railways. In: Soil Dynamics and Earthquake Engineering, v. 188 (Januar 2025).

    https://doi.org/10.1016/j.soildyn.2024.109057

  5. Peng, Kang / Zhou, Wangbao / Jiang, Lizhong / Xiong, Lijun / Yu, Jian (2024): VHXLA: A post-earthquake damage prediction method for high-speed railway track-bridge system using VMD and hybrid neural network. In: Engineering Structures, v. 298 (Januar 2024).

    https://doi.org/10.1016/j.engstruct.2023.117048

  6. Zhou, Wangbao / Xiong, Lijun / Jiang, Lizhong / Wu, Lingxu / Xiang, Ping / Jiang, Liqiang (2023): Optimal combinations of parameters for seismic response prediction of high-speed railway bridges using machine learnings. In: Structures, v. 57 (November 2023).

    https://doi.org/10.1016/j.istruc.2023.105089

  7. Shi, Yan / Xiong, Lijun / Qin, Hongguo / Han, Jianping / Sun, Zhiguo (2022): Seismic fragility analysis of LRB-isolated bridges considering the uncertainty of regional temperatures using BP neural networks. In: Structures, v. 44 (Oktober 2022).

    https://doi.org/10.1016/j.istruc.2022.08.035

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