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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. Pei, Jiangning / Wang, Xinzhi / Qin, Songlin / Xu, Guangpeng / Su, Fulin / Wang, Shengbao / Li, Zhonglong (2024): Experimental and Numerical Simulation Study on Residual Stress of Single-Sided Full-Penetration Welded Rib-to-Deck Joint of Orthotropic Steel Bridge Deck. Dans: Buildings, v. 14, n. 9 (25 août 2024).

    https://doi.org/10.3390/buildings14092641

  2. Cui, Hongtao / Li, Zhonglong / Zhang, Xu / Guo, Yapeng / Li, Shunlong (2024): Physical characteristics identification of the concrete interfacial transition zone via 3D image scanning. Dans: Journal of Building Engineering, v. 96 (novembre 2024).

    https://doi.org/10.1016/j.jobe.2024.110470

  3. Wang, Shengbao / Pei, Jiangning / Ren, Fengjun / Qin, Songlin / Li, Zhonglong / Xu, Guangpeng / Wang, Xinzhi (2024): Numerical study of full penetration single- and double-sided U-rib welding in orthotropic bridge decks. Dans: Case Studies in Construction Materials, v. 20 (juillet 2024).

    https://doi.org/10.1016/j.cscm.2024.e03120

  4. Li, Zhonglong / Chen, Xiaowei / Bing, Haonan / Zhao, Yangjun / Ye, Zhifeng (2022): A Comprehensive Reliability Assessment Method for Existing Railway Bridges Based on Bayesian Theory. Dans: Advances in Civil Engineering, v. 2022 (janvier 2022).

    https://doi.org/10.1155/2022/3032658

  5. Niu, Jin / Li, Zhonglong / Zhuo, Yi / Di, Hao / Wei, Jianfeng / Wang, Xin / Guo, Yapeng / Li, Shunlong (2022): Robust correlation mapping of train-induced stresses for high-speed railway bridge using convolutional denoising autoencoder. Dans: Structural Health Monitoring, v. 22, n. 2 (mai 2022).

    https://doi.org/10.1177/14759217221095191

  6. Cui, Hongtao / Li, Zhonglong / Zhuo, Yi / Di, Hao / Wei, Jianfeng / Xing, Yu / Li, Shunlong (2022): Destructive testing and simulation for newly designed full-scale high-speed railway box girder. Dans: Construction and Building Materials, v. 328 (avril 2022).

    https://doi.org/10.1016/j.conbuildmat.2022.127112

  7. Niu, Jin / Li, Shunlong / Li, Zhonglong (2022): Restoration of missing structural health monitoring data using spatiotemporal graph attention networks. Dans: Structural Health Monitoring, v. 21, n. 5 (mars 2022).

    https://doi.org/10.1177/14759217211056832

  8. Li, Shunlong / Niu, Jin / Li, Zhonglong (2021): Novelty detection of cable-stayed bridges based on cable force correlation exploration using spatiotemporal graph convolutional networks. Dans: Structural Health Monitoring, v. 20, n. 4 (avril 2021).

    https://doi.org/10.1177/1475921720988666

  9. Li, Zhonglong / Li, Shunlong / Lv, Jia / Li, Hui (2015): Condition assessment for high-speed railway bridges based on train-induced strain response. Dans: Structural Engineering and Mechanics, v. 54, n. 2 (avril 2015).

    https://doi.org/10.12989/sem.2015.54.2.199

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