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Shengxiang Lei

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. Xu, Qiang / Zhu, Yongquan / Lei, Shengxiang / Fan, Haobo / Wang, Dapeng / Ma, Kaimeng / Fang, Zhichun (2023): A Simplified 3D Theoretical Model for Calculating the Surface Settlement Induced by Tunnel Undercrossing Excavation. In: International Journal of Geomechanics, v. 23, n. 10 (October 2023).

    https://doi.org/10.1061/ijgnai.gmeng-8767

  2. Li, Congming / Lei, Shengxiang / Xiao, Qinghua / Chen, Shougen / Han, Xiangyu / Chen, Qiaofeng / Qiu, Zemin (2023): Investigating mechanical characteristics of novel precast segmental lining using experimental and numerical methods. In: Tunnelling and Underground Space Technology, v. 140 (October 2023).

    https://doi.org/10.1016/j.tust.2023.105274

  3. Li, Congming / Lei, Shengxiang / Xiao, Qinghua / Pan, Yin / Han, Xiangyu / Chen, Qiaofeng (2023): An experimental and numerical investigation on the load transfer efficiency of a novel prefabricated cement concrete pavement. In: Structures, v. 53 (July 2023).

    https://doi.org/10.1016/j.istruc.2023.04.130

  4. Xu, Qiang / Lei, Shengxiang / Zhu, Yongquan / Zhao, Wei / Wang, Cong / Wang, Dapeng (2022): Theoretical Prediction Model for Surface Settlement Caused by the Excavation of New Tunnels Undercrossing Existing Tunnels Based on Modified Stochastic Medium Theory. In: KSCE Journal of Civil Engineering, v. 26, n. 9 (1 August 2022).

    https://doi.org/10.1007/s12205-022-1911-6

  5. Xiao, Qinghua / Lei, Shengxiang / Cui, Kai / Li, Wensheng / Han, Xiangyu / Liu, Jianguo / Huang, Xunhong / Chen, Shougen (2022): Effect of the longitudinal local wetting-induced collapse on tunnel structure in loess strata. In: Tunnelling and Underground Space Technology, v. 122 (April 2022).

    https://doi.org/10.1016/j.tust.2022.104361

  6. Xiao, Qinghua / Li, Congming / Lei, Shengxiang / Han, Xiangyu / Chen, Qiaofeng / Qiu, Zemin / Sun, Biao (2021): Using Hybrid Artificial Intelligence Approaches to Predict the Fracture Energy of Concrete Beams. In: Advances in Civil Engineering, v. 2021 (January 2021).

    https://doi.org/10.1155/2021/6663767

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