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  • Base de données et galerie internationale d'ouvrages d'art et du génie civil

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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. Liu, Xianglong / Zhang, Jicheng / Lu, Hailin / Guan, Ning / Xiao, Jiahao / Du, Guofeng (2021): Behavior of the T-Shaped Concrete-Filled Steel Tubular Columns after Elevated Temperature. Dans: Advances in Civil Engineering, v. 2021 (janvier 2021).

    https://doi.org/10.1155/2021/6638736

  2. Lu, Hailin / Hao, Jing / Zhong, Jiwei / Wang, Yafei / Yang, Hongyin (2020): Analysis of Sunshine Temperature Field of Steel Box Girder Based on Monitoring Data. Dans: Advances in Civil Engineering, v. 2020 (janvier 2020).

    https://doi.org/10.1155/2020/9572602

  3. Huang, Minshui / Cheng, Shaoxi / Lu, Hailin / Gül, Mustafa / Zhang, Haiyang (2019): Structural damage identification of steel-concrete composite bridge under temperature effects based on cuckoo search. Dans: International Journal of Lifecycle Performance Engineering, v. 3, n. 2 ( 2019).

    https://doi.org/10.1504/ijlcpe.2019.100340

  4. Huang, Minshui / Cheng, Shaoxi / Zhang, Haiyang / Gül, Mustafa / Lu, Hailin (2019): Structural Damage Identification under Temperature Variations based on PSO-CS Hybrid Algorithm. Dans: International Journal of Structural Stability and Dynamics, v. 19, n. 11 (octobre 2019).

    https://doi.org/10.1142/s0219455419501396

  5. Liu, Zenghui / Liu, Zhangjun / He, Chenggao / Lu, Hailin (2019): Dimension-reduced probabilistic approach of 3-D wind field for wind-induced response analysis of transmission tower. Dans: Journal of Wind Engineering and Industrial Aerodynamics, v. 190 (juillet 2019).

    https://doi.org/10.1016/j.jweia.2019.05.013

  6. Liu, Zhangjun / Ruan, Xinxin / Liu, Zixin / Lu, Hailin (2019): Probability density evolution analysis of stochastic nonlinear structure under non-stationary ground motions. Dans: Structure and Infrastructure Engineering, v. 15, n. 8 (mai 2019).

    https://doi.org/10.1080/15732479.2019.1599963

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