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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. Huang, Jinting / Ji, Ankang / Xiao, Zhonghua / Zhang, Limao: Schedule-cost optimization in high-rise buildings considering uncertainty. In: Engineering, Construction and Architectural Management.

    https://doi.org/10.1108/ecam-12-2023-1217

  2. Li, Yongsheng / Pan, Yue / Zhang, Limao (2024): Physics-guided deep learning for driving force estimation in synchronous tunnel boring machines under missing cylinders. In: Automation in Construction, v. 161 (May 2024).

    https://doi.org/10.1016/j.autcon.2024.105339

  3. Li, Xuewei / Yuan, Jingfeng / Zhang, Limao / Yang, Dujuan (2024): Risk Assessment of Subway Station Fire By Using a Bayesian Network-Based Scenario Evolution Model. In: Journal of Civil Engineering and Management, v. 30, n. 3 (12 March 2024).

    https://doi.org/10.3846/jcem.2024.20846

  4. Chen, Chao / Guo, Jing / Zhang, Limao / Wu, Xiaoying / Yang, Zheng (2024): Robust multi-scale time series prediction for building carbon emissions with explainable deep learning. In: Energy and Buildings, v. 312 (June 2024).

    https://doi.org/10.1016/j.enbuild.2024.114159

  5. Lin, Penghui / Wu, Maozhi / Xiao, Zhonghua / Tiong, Robert L. K. / Zhang, Limao (2024): Physics-informed deep reinforcement learning for enhancement on tunnel boring machine's advance speed and stability. In: Automation in Construction, v. 158 (February 2024).

    https://doi.org/10.1016/j.autcon.2023.105234

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

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

  7. Pan, Yue / Qin, Jianjun / Zhang, Limao / Pan, Weiqiang / Chen, Jin‐Jian (2024): A probabilistic deep reinforcement learning approach for optimal monitoring of a building adjacent to deep excavation. In: Computer-Aided Civil and Infrastructure Engineering, v. 39, n. 5 (February 2024).

    https://doi.org/10.1111/mice.13021

  8. Teo, Ya Hui / Yap, Jun Hong / An, Hui / Xie, Nenggang / Chang, Jie / Man Yu, Simon Ching / Poon, Wai Ching / Zhang, Limao / Cheong, Kang Hao (2023): A simulation-aided approach in examining the viability of passive daylighting techniques on inclined windows. In: Energy and Buildings, v. 282 (March 2023).

    https://doi.org/10.1016/j.enbuild.2022.112739

  9. 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). In: Automation in Construction, v. 147 (March 2023).

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

  10. Fu, Xianlei / Wu, Maozhi / Zhang, Limao (2022): Probabilistic Life Prediction of Tunnel Boring Machine under Wearing Conditions with Incomplete Information. In: Buildings, v. 12, n. 11 (27 October 2022).

    https://doi.org/10.3390/buildings12111959

  11. Ji, Ankang / Zhou, Yunxiang / Zhang, Limao / Tiong, Robert L. K. / Xue, Xiaolong (2023): Semi-supervised learning-based point cloud network for segmentation of 3D tunnel scenes. In: Automation in Construction, v. 146 (February 2023).

    https://doi.org/10.1016/j.autcon.2022.104668

  12. Zhou, Yunxiang / Ji, Ankang / Zhang, Limao (2022): Sewer defect detection from 3D point clouds using a transformer-based deep learning model. In: Automation in Construction, v. 136 (April 2022).

    https://doi.org/10.1016/j.autcon.2022.104163

  13. Liu, Yang / Chen, Hongyu / Zhang, Limao / Wang, Xianjia (2021): Risk Prediction and Diagnosis of Water Seepage in Operational Shield Tunnels Based on Random Forest. In: Journal of Civil Engineering and Management, v. 27, n. 7 (11 October 2021).

    https://doi.org/10.3846/jcem.2021.14901

  14. Guo, Kai / Zhang, Limao (2022): Simulation-based passenger evacuation optimization in metro stations considering multi-objectives. In: Automation in Construction, v. 133 (January 2022).

    https://doi.org/10.1016/j.autcon.2021.104010

  15. Ramani, Vasantha / Zhang, Limao / Kuang, Kevin Sze Chiang (2021): Probabilistic assessment of time to cracking of concrete cover due to corrosion using semantic segmentation of imaging probe sensor data. In: Automation in Construction, v. 132 (December 2021).

    https://doi.org/10.1016/j.autcon.2021.103963

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

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

  17. Zhang, Gaowei / Pan, Yue / Zhang, Limao (2021): Semi-supervised learning with GAN for automatic defect detection from images. In: Automation in Construction, v. 128 (August 2021).

    https://doi.org/10.1016/j.autcon.2021.103764

  18. Chen, Weiyi / Zhang, Limao (2021): Predicting building damages in mega-disasters under uncertainty: An improved Bayesian network learning approach. In: Sustainable Cities and Society, v. 66 (March 2021).

    https://doi.org/10.1016/j.scs.2020.102689

  19. Pan, Yue / Zhang, Limao (2021): Roles of artificial intelligence in construction engineering and management: A critical review and future trends. In: Automation in Construction, v. 122 (February 2021).

    https://doi.org/10.1016/j.autcon.2020.103517

  20. Feng, Liuyang / Zhang, Limao / Liao, Xiaowei / Zhang, Wei (2021): Probabilistic fatigue life of welded plate joints under uncertainty in Arctic areas. In: Journal of Constructional Steel Research, v. 176 (January 2021).

    https://doi.org/10.1016/j.jcsr.2020.106412

  21. Pan, Yue / Zhang, Gaowei / Zhang, Limao (2020): A spatial-channel hierarchical deep learning network for pixel-level automated crack detection. In: Automation in Construction, v. 119 (November 2020).

    https://doi.org/10.1016/j.autcon.2020.103357

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

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

  23. 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. In: Building and Environment, v. 75 (May 2014).

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

  24. Deng, Qianli / Zhang, Limao / Cui, Qingbin / Jiang, Xianglin (2014): A simulation-based decision model for designing contract period in building energy performance contracting. In: Building and Environment, v. 71 (January 2014).

    https://doi.org/10.1016/j.buildenv.2013.09.010

  25. Zhang, Limao / Wu, Xianguo / Skibniewski, Miroslaw J. (2016): Simulation-Based Analysis of Tunnel Boring Machine Performance in Tunneling Excavation. In: Journal of Computing in Civil Engineering, v. 30, n. 4 (July 2016).

    https://doi.org/10.1061/(asce)cp.1943-5487.0000542

  26. Zhang, Limao / Liu, Mengjie / Wu, Xianguo / AbouRizk, Simaan M. (2016): Simulation-based route planning for pedestrian evacuation in metro stations: A case study. In: Automation in Construction, v. 71 (November 2016).

    https://doi.org/10.1016/j.autcon.2016.08.031

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

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

  28. Liu, Wenli / Wu, Xianguo / Zhang, Limao / Wang, Yanyu (2018): Probabilistic analysis of tunneling-induced building safety assessment using a hybrid FE-copula model. In: Structure and Infrastructure Engineering, v. 14, n. 8 (December 2018).

    https://doi.org/10.1080/15732479.2017.1386691

  29. Zhang, Limao / Liu, Wenli / Wu, Xianguo / Skibniewski, Miroslaw J. (2018): Simulation-Hybrid Approach to Protecting Aging Bridges against Nearby Tunnel Excavation. In: Journal of Performance of Constructed Facilities (ASCE), v. 32, n. 4 (August 2018).

    https://doi.org/10.1061/(asce)cf.1943-5509.0001197

  30. Liu, Wenli / Wu, Xianguo / Zhang, Limao / Wang, Yanyu / Teng, Jiaying (2018): Sensitivity analysis of structural health risk in operational tunnels. In: Automation in Construction, v. 94 (October 2018).

    https://doi.org/10.1016/j.autcon.2018.06.008

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