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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. Liu, Zhenliang / Guo, Anxin / Zhao, Cunbao / Sextos, Anastasios (2023): Seismic response of bridges employing knowledge-enhanced neural networks for the lumped plasticity modelling of RC piers. In: Bulletin of Earthquake Engineering, v. 22, n. 7 (December 2023).

    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. In: Engineering Structures, v. 270 (November 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. In: Engineering Structures, v. 262 (July 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. In: Soil Dynamics and Earthquake Engineering, v. 159 (August 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. In: Structures, v. 41 (July 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. In: Engineering Structures, v. 237 (June 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. In: Structure and Infrastructure Engineering, v. 13, n. 12 (May 2017).

    https://doi.org/10.1080/15732479.2017.1299770

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