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Publicité

Zhenliang Liu

La bibliographie suivante contient toutes les publications répertoriées dans la base de données qui sont reliées à ce nom en tant qu'auteur, éditeur ou collaborateur.

  1. Liu, Zhenliang / Guo, Anxin / Zhao, Cunbao / Sextos, Anastasios: Seismic response of bridges employing knowledge-enhanced neural networks for the lumped plasticity modelling of RC piers. Dans: Bulletin of Earthquake Engineering.

    https://doi.org/10.1007/s10518-023-01825-5

  2. Zhang, Pu / Li, Suchao / Liu, Zhenliang / Zhang, Dongyu (2022): Hysteretic behavior degeneration mechanism and damage evaluation of self-centering bridge pier system. Dans: Engineering Structures, v. 270 (novembre 2022).

    https://doi.org/10.1016/j.engstruct.2022.114895

  3. Liu, Zhenliang / Li, Suchao / Zhao, Weigang / Guo, Anxin (2022): Post-earthquake assessment model for highway bridge networks considering traffic congestion due to earthquake-induced bridge damage. Dans: Engineering Structures, v. 262 (juillet 2022).

    https://doi.org/10.1016/j.engstruct.2022.114395

  4. Liu, Zhenliang / Li, Suchao / Guo, Anxin / Li, Hui (2022): Comprehensive functional resilience assessment methodology for bridge networks using data-driven fragility models. Dans: Soil Dynamics and Earthquake Engineering, v. 159 (août 2022).

    https://doi.org/10.1016/j.soildyn.2022.107326

  5. Liu, Zhenliang / Sextos, Anastasios / Guo, Anxin / Zhao, Weigang (2022): ANN-based rapid seismic fragility analysis for multi-span concrete bridges. Dans: Structures, v. 41 (juillet 2022).

    https://doi.org/10.1016/j.istruc.2022.05.063

  6. Liu, Zhenliang / Guo, Anxin (2021): Empirical-based support vector machine method for seismic assessment and simulation of reinforced concrete columns using historical cyclic tests. Dans: Engineering Structures, v. 237 (juin 2021).

    https://doi.org/10.1016/j.engstruct.2021.112141

  7. Guo, Anxin / Liu, Zhenliang / Li, Suchao / Li, Hui (2017): Seismic performance assessment of highway bridge networks considering post-disaster traffic demand of a transportation system in emergency conditions. Dans: Structure and Infrastructure Engineering, v. 13, n. 12 (mai 2017).

    https://doi.org/10.1080/15732479.2017.1299770

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