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Yongjia Xu ORCID

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

  1. Shi, Da / Xu, Yongjia / Demartino, Cristoforo / Xiao, Yan / Spencer, Billie F. (2024): Cyclic behavior of laminated bio-based connections with slotted-in steel plates: Genetic algorithm, deterministic neural network-based model parameter identification, and uncertainty quantification. In: Engineering Structures, v. 310 (Juli 2024).

    https://doi.org/10.1016/j.engstruct.2024.118114

  2. Zhai, Guanghao / Xu, Yongjia / Spencer, Billie F.: Bidirectional graphics-based digital twin framework for quantifying seismic damage of structures using deep learning networks. In: Structural Health Monitoring.

    https://doi.org/10.1177/14759217241231299

  3. Shi, Da / Xu, Yongjia / Demartino, Cristoforo / Xiao, Yan / Spencer, Billie F. (2023): Bio‐based laminated truss structures with bolted steel connections: Experiment, modeling, and model‐updating. In: Earthquake Engineering and Structural Dynamics, v. 53, n. 2 (November 2023).

    https://doi.org/10.1002/eqe.4043

  4. Xu, Yongjia / Lu, Xinzheng / Fei, Yifan / Huang, Yuli (2023): Hysteretic behavior simulation based on pyramid neural network: Principle, network architecture, case study and explanation. In: Advances in Structural Engineering, v. 26, n. 13 (Juli 2023).

    https://doi.org/10.1177/13694332231184322

  5. Gu, Yi / Lu, Xinzheng / Xu, Yongjia (2023): A deep ensemble learning-driven method for the intelligent construction of structural hysteresis models. In: Computers & Structures, v. 286 (Oktober 2023).

    https://doi.org/10.1016/j.compstruc.2023.107106

  6. Xu, Yongjia / Fei, Yifan / Huang, Yuli / Tian, Yuan / Lu, Xinzheng (2022): Advanced corrective training strategy for surrogating complex hysteretic behavior. In: Structures, v. 41 (Juli 2022).

    https://doi.org/10.1016/j.istruc.2022.05.097

  7. Xu, Yongjia / Lu, Xinzheng / Tian, Yuan / Huang, Yuli (2021): Real-time seismic damage prediction and comparison of various ground motion intensity measures based on machine learning. Vorgetragen bei: IABSE Congress: Resilient technologies for sustainable infrastructure, Christchurch, New Zealand, 3-5 February 2021.

    https://doi.org/10.2749/christchurch.2021.1158

  8. Lu, Xinzheng / Xu, Yongjia / Tian, Yuan / Çetiner, Barbaros / Taciroglu, Ertugrul (2021): A deep learning approach to rapid regional post‐event seismic damage assessment using time‐frequency distributions of ground motions. In: Earthquake Engineering and Structural Dynamics, v. 50, n. 6 (Mai 2021).

    https://doi.org/10.1002/eqe.3415

  9. Xu, Yongjia / Lu, Xinzheng / Çetiner, Barbaros / Taciroglu, Ertugrul (2021): Real‐time regional seismic damage assessment framework based on long short‐term memory neural network. In: Computer-Aided Civil and Infrastructure Engineering, v. 36, n. 4 (Februar 2021).

    https://doi.org/10.1111/mice.12628

  10. Xu, Yongjia / Lu, Xinzheng / Tian, Yuan / Huang, Yuli (2021): Real-Time Seismic Damage Prediction and Comparison of Various Ground Motion Intensity Measures Based on Machine Learning. In: Journal of Earthquake Engineering, v. 26, n. 8 (März 2021).

    https://doi.org/10.1080/13632469.2020.1826371

  11. Xu, Zhen / Zhang, Huazhen / Lu, Xinzheng / Xu, Yongjia / Zhang, Zongcai / Li, Yi (2019): A prediction method of building seismic loss based on BIM and FEMA P-58. In: Automation in Construction, v. 102 (Juni 2019).

    https://doi.org/10.1016/j.autcon.2019.02.017

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