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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. Zhao, Shuai / Wu, Shi-Fan / Zhang, Dong-ming / Huang, Hong-wei / Chu, Jian (2025): Experimental study on shield tunnel seepage control via microbially induced calcite precipitation. Dans: Underground Space, v. 21 (avril 2025).

    https://doi.org/10.1016/j.undsp.2024.03.007

  2. Zhao, Shuai / Wang, Fei-Yang / Tan, Dao-Yuan / Yang, Ai-Wu (2024): A deep learning informed-mesoscale cohesive numerical model for investigating the mechanical behavior of shield tunnels with crack damage. Dans: Structures, v. 66 (août 2024).

    https://doi.org/10.1016/j.istruc.2024.106902

  3. Zhao, Shuai / Bao, Leping / Hou, Changhui / Bai, Yang / Yu, Yue (2024): Multi-source domain adversarial graph convolutional networks for rolling mill health states diagnosis under variable working conditions. Dans: Structural Health Monitoring, v. 23, n. 6 (février 2024).

    https://doi.org/10.1177/14759217231225986

  4. Zhao, Shuai / Chen, Yimin / Zhang, Hui / Luo, Ming (2024): Impacts of local climate zone mapping quality on urban near-surface air temperature simulation in WRF-UCM. Dans: Sustainable Cities and Society, v. 101 (février 2024).

    https://doi.org/10.1016/j.scs.2024.105171

  5. Zhang, Mengchao / Jiang, Kai / Zhao, Shuai / Hao, Nini / Zhang, Yuan (2023): Deep-learning-based multistate monitoring method of belt conveyor turning section. Dans: Structural Health Monitoring, v. 23, n. 4 (novembre 2023).

    https://doi.org/10.1177/14759217231202964

  6. Guan, Yu / Wang, Jiqin / Shi, Yu / Zhao, Shuai / Yao, Xinmei (2023): Study on in-plane and out-of-plane bearing capacity of cold-formed steel composite floor with opening. Dans: Journal of Building Engineering, v. 70 (juillet 2023).

    https://doi.org/10.1016/j.jobe.2023.106246

  7. Zhao, Shuai / Zhang, Dongming / Xue, Yadong / Zhou, Mingliang / Huang, Hongwei (2021): A deep learning-based approach for refined crack evaluation from shield tunnel lining images. Dans: Automation in Construction, v. 132 (décembre 2021).

    https://doi.org/10.1016/j.autcon.2021.103934

  8. Zhao, Shuai / Shadabfar, Mahdi / Zhang, Dongming / Chen, Jiayao / Huang, Hongwei (2021): Deep learning‐based classification and instance segmentation of leakage‐area and scaling images of shield tunnel linings. Dans: Structural Control and Health Monitoring, v. 28, n. 6 (avril 2021).

    https://doi.org/10.1002/stc.2732

  9. Huang, Hongwei / Zhao, Shuai / Zhang, Dongming / Chen, Jiayao (2022): Deep learning-based instance segmentation of cracks from shield tunnel lining images. Dans: Structure and Infrastructure Engineering, v. 18, n. 2 (juin 2022).

    https://doi.org/10.1080/15732479.2020.1838559

  10. Xu, Yangjian / Zhao, Shuai / Jin, Guohui / Liang, Lihua / Jiang, Haojie / Wang, Xiaogui (2019): Explicit dynamic fracture simulation of two-phase materials using a novel meso-structure modelling approach. Dans: Composite Structures, v. 208 (janvier 2019).

    https://doi.org/10.1016/j.compstruct.2018.10.029

  11. Zhao, Shuai / Zhang, Dong Ming / Huang, Hong Wei (2020): Deep learning–based image instance segmentation for moisture marks of shield tunnel lining. Dans: Tunnelling and Underground Space Technology, v. 95 (janvier 2020).

    https://doi.org/10.1016/j.tust.2019.103156

  12. Li, Guo-zhong / Zhao, Shuai / Yu, Yan-zhen (2008): Simulating Experimental Study of Phosphate and Fluoride on the Influence of Phosphogypsum Properties and Microstructure. Dans: Journal of Materials in Civil Engineering (ASCE), v. 20, n. 7 (juillet 2008).

    https://doi.org/10.1061/(asce)0899-1561(2008)20:7(464)

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