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Limao Zhang ORCID

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. Zhang, Zhaoxiang / Ji, Ankang / Xia, Zhuan / Zhang, Limao / Xu, Yuelei / Zhou, Qing (2025): Unsupervised seepage segmentation pipeline based on point cloud projection with large vision model. Dans: Tunnelling and Underground Space Technology, v. 158 (avril 2025).

    https://doi.org/10.1016/j.tust.2025.106410

  2. Ji, Ankang / Xue, Xiaolong / Zhang, Limao / Luo, Xiaowei / Man, Qingpeng: A transformer-based deep learning method for automatic pixel-level crack detection and feature quantification. Dans: Engineering, Construction and Architectural Management.

    https://doi.org/10.1108/ecam-06-2023-0613

  3. Pan, Yue / Wu, Maozhi / Zhang, Limao / Chen, Jinjian (2023): Time series clustering-enabled geological condition perception in tunnel boring machine excavation. Dans: Automation in Construction, v. 153 (septembre 2023).

    https://doi.org/10.1016/j.autcon.2023.104954

  4. Wang, Kunyu / Zhang, Limao / Fu, Xianlei (2023): Time series prediction of tunnel boring machine (TBM) performance during excavation using causal explainable artificial intelligence (CX-AI). Dans: Automation in Construction, v. 147 (mars 2023).

    https://doi.org/10.1016/j.autcon.2022.104730

  5. Zhang, Zhaoxiang / Ji, Ankang / Wang, Kunyu / Zhang, Limao (2022): UnrollingNet: An attention-based deep learning approach for the segmentation of large-scale point clouds of tunnels. Dans: Automation in Construction, v. 142 (octobre 2022).

    https://doi.org/10.1016/j.autcon.2022.104456

  6. Chen, Hongyu / Chen, Bin / Zhang, Limao / Li, Hong Xian (2021): Vulnerability modeling, assessment, and improvement in urban metro systems: A probabilistic system dynamics approach. Dans: Sustainable Cities and Society, v. 75 (décembre 2021).

    https://doi.org/10.1016/j.scs.2021.103329

  7. Fu, Xianlei / Zhang, Limao (2021): Spatio-temporal feature fusion for real-time prediction of TBM operating parameters: A deep learning approach. Dans: Automation in Construction, v. 132 (décembre 2021).

    https://doi.org/10.1016/j.autcon.2021.103937

  8. Zhang, Limao / Li, Yan / Stephenson, Robert / Ashuri, Baabak (2018): Valuation of energy efficient certificates in buildings. Dans: Energy and Buildings, v. 158 (janvier 2018).

    https://doi.org/10.1016/j.enbuild.2017.11.014

  9. Li, Hong Xian / Li, Yan / Zhang, Limao (2020): A two-step approach for cost-effective design analysis of Net Zero Energy Homes. Dans: Journal of Building Engineering, v. 32 (novembre 2020).

    https://doi.org/10.1016/j.jobe.2020.101546

  10. Liu, Wenli / Wu, Xianguo / Zhang, Limao / Wang, Yanyu / Teng, Jiaying (2020): Structural Health-Monitoring and Assessment in Tunnels: Hybrid Simulation Approach. Dans: Journal of Performance of Constructed Facilities (ASCE), v. 34, n. 4 (août 2020).

    https://doi.org/10.1061/(asce)cf.1943-5509.0001445

  11. Zhang, Limao / Wu, Xianguo / Chen, Queqing / Skibniewski, Miroslaw J. / Hsu, Shu-Chien (2014): Towards a safety management approach for adjacent buildings in tunneling environments: Case study in China. Dans: Building and Environment, v. 75 (mai 2014).

    https://doi.org/10.1016/j.buildenv.2014.02.005

  12. Niu, Yanliang / Deng, Xiaopeng / Zhang, Limao / Duan, Xiaochen (2019): Understanding Critical Variables Contributing To Competitive Advantages of International High-speed Railway Contractors. Dans: Journal of Civil Engineering and Management, v. 25, n. 2 (mai 2019).

    https://doi.org/10.3846/jcem.2019.8427

  13. Zhang, Limao / Wu, Xianguo / Liu, Huitao (2016): Strategies to Reduce Ground Settlement from Shallow Tunnel Excavation: A Case Study in China. Dans: Journal of Construction Engineering and Management, v. 142, n. 5 (mai 2016).

    https://doi.org/10.1061/(asce)co.1943-7862.0001087

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