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Xingquan Guan ORCID

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. Jiang, Yongqing / Wang, Jianze / Guan, Xingquan / Dai, Kaoshan (2024): Video comprehension-based approach for seismic damage recognition of freestanding non-structural components. Dans: Engineering Structures, v. 308 (juin 2024).

    https://doi.org/10.1016/j.engstruct.2024.118034

  2. Wang, Jianze / Jiang, Yongqing / Huang, Qinyong / Guan, Xingquan / Dai, Kaoshan (2023): An adapted LSTM-DRRNet approach for predicting floor acceleration response spectrum. Dans: Engineering Structures, v. 295 (novembre 2023).

    https://doi.org/10.1016/j.engstruct.2023.116849

  3. Guan, Xingquan / Burton, Henry V. (2023): Collaborative filtering‐based collapse fragility assessment. Dans: Earthquake Engineering and Structural Dynamics, v. 52, n. 11 (juin 2023).

    https://doi.org/10.1002/eqe.3963

  4. Chen, Peng-Yu / Guan, Xingquan (2023): A multi-source data-driven approach for evaluating the seismic response of non-ductile reinforced concrete moment frames. Dans: Engineering Structures, v. 278 (mars 2023).

    https://doi.org/10.1016/j.engstruct.2022.115452

  5. Guan, Xingquan / Burton, Henry (2022): Bias-variance tradeoff in machine learning: Theoretical formulation and implications to structural engineering applications. Dans: Structures, v. 46 (décembre 2022).

    https://doi.org/10.1016/j.istruc.2022.10.004

  6. Zeng, Ziyue / Zhu, Zheyu / Yao, Wu / Wang, Zhongping / Wang, Changying / Wei, Yongqi / Wei, Zhenhua / Guan, Xingquan (2022): Accurate prediction of concrete compressive strength based on explainable features using deep learning. Dans: Construction and Building Materials, v. 329 (avril 2022).

    https://doi.org/10.1016/j.conbuildmat.2022.127082

  7. Gao, Fei / Liu, Zhaoxiang / Guan, Xingquan (2021): Fire resistance behavior of T-stub joint components under transient heat transfer conditions. Dans: Engineering Structures, v. 237 (juin 2021).

    https://doi.org/10.1016/j.engstruct.2021.112164

  8. Guan, Xingquan / Burton, Henry / Shokrabadi, Mehrdad / Yi, Zhengxiang (2021): Seismic Drift Demand Estimation for Steel Moment Frame Buildings: From Mechanics-Based to Data-Driven Models. Dans: Journal of Structural Engineering (ASCE), v. 147, n. 6 (juin 2021).

    https://doi.org/10.1061/(asce)st.1943-541x.0003004

  9. Guan, Xingquan / Burton, Henry / Sabol, Thomas (2020): Python-based computational platform to automate seismic design, nonlinear structural model construction and analysis of steel moment resisting frames. Dans: Engineering Structures, v. 224 (décembre 2020).

    https://doi.org/10.1016/j.engstruct.2020.111199

  10. Guan, Xingquan / Burton, Henry / Moradi, Saber (2018): Seismic performance of a self-centering steel moment frame building: From component-level modeling to economic loss assessment. Dans: Journal of Constructional Steel Research, v. 150 (novembre 2018).

    https://doi.org/10.1016/j.jcsr.2018.07.026

  11. Gao, Fei / Xiao, Zigang / Guan, Xingquan / Zhu, Hongping / Du, Guofeng (2019): Dynamic behavior of CHS-SHS tubular T-joints subjected to low-velocity impact loading. Dans: Engineering Structures, v. 183 (mars 2019).

    https://doi.org/10.1016/j.engstruct.2019.01.027

  12. Gao, Fei / Guan, Xingquan / Zhu, Hongping / Ye, Yibin (2018): Fire-Resistance Behavior of Completely Overlapped Tubular Joints under Lap Brace Axial Loading. Dans: Journal of Structural Engineering (ASCE), v. 144, n. 9 (septembre 2018).

    https://doi.org/10.1061/(asce)st.1943-541x.0002130

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