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Qingsong Xiong

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. Xiong, Qingsong / Kong, Qingzhao / Yuan, Cheng / Li, Ying / Ji, Keyan / Xiong, Haibei (2024): Fusing physics-based and machine learning models for rapid ground-motion-adaptative probabilistic seismic fragility assessment. In: Journal of Building Engineering, v. 87 (June 2024).

    https://doi.org/10.1016/j.jobe.2024.108938

  2. Xiong, Qingsong / Kong, Qingzhao / Xiong, Haibei / Liao, Lijia / Yuan, Cheng (2024): Physics-informed deep 1D CNN compiled in extended state space fusion for seismic response modeling. In: Computers & Structures, v. 291 (January 2024).

    https://doi.org/10.1016/j.compstruc.2023.107215

  3. Ding, Yewei / Xiong, Haibei / Chen, Lin / Yuan, Cheng / Xiong, Qingsong / Lu, Yurong (2023): Non-destructive sensing data-driven hysteretic behavior prediction of CLT joints based on recurrent neural networks. In: Structures, v. 56 (October 2023).

    https://doi.org/10.1016/j.istruc.2023.104974

  4. Xiong, Haibei / Xiong, Qingsong / Zhou, Bochang / Abbas, Nadeem / Kong, Qingzhao / Yuan, Cheng (2022): Field vibration evaluation and dynamics estimation of a super high-rise building under typhoon conditions: data-model dual driven. In: Journal of Civil Structural Health Monitoring, v. 13, n. 1 (October 2022).

    https://doi.org/10.1007/s13349-022-00634-9

  5. Ni, Xiangyong / Xiong, Qingsong / Kong, Qingzhao / Yuan, Cheng (2022): Deep HystereticNet to predict hysteretic performance of RC columns against cyclic loading. In: Engineering Structures, v. 273 (December 2022).

    https://doi.org/10.1016/j.engstruct.2022.115103

  6. Xiong, Qingsong / Xiong, Haibei / Kong, Qingzhao / Ni, Xiangyong / Li, Ying / Yuan, Cheng (2022): Machine learning-driven seismic failure mode identification of reinforced concrete shear walls based on PCA feature extraction. In: Structures, v. 44 (October 2022).

    https://doi.org/10.1016/j.istruc.2022.08.089

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