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Huang, Jinting / Ji, Ankang / Xiao, Zhonghua / Zhang, Limao: Schedule-cost optimization in high-rise buildings considering uncertainty. Dans: Engineering, Construction and Architectural Management.
https://doi.org/10.1108/ecam-12-2023-1217
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Li, Yongsheng / Pan, Yue / Zhang, Limao (2024): Physics-guided deep learning for driving force estimation in synchronous tunnel boring machines under missing cylinders. Dans: Automation in Construction, v. 161 (mai 2024).
https://doi.org/10.1016/j.autcon.2024.105339
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Li, Xuewei / Yuan, Jingfeng / Zhang, Limao / Yang, Dujuan (2024): Risk Assessment of Subway Station Fire By Using a Bayesian Network-Based Scenario Evolution Model. Dans: Journal of Civil Engineering and Management, v. 30, n. 3 (12 mars 2024).
https://doi.org/10.3846/jcem.2024.20846
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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. Dans: Energy and Buildings, v. 312 (juin 2024).
https://doi.org/10.1016/j.enbuild.2024.114159
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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. Dans: Automation in Construction, v. 158 (février 2024).
https://doi.org/10.1016/j.autcon.2023.105234
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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. Dans: Computer-Aided Civil and Infrastructure Engineering, v. 39, n. 5 (février 2024).
https://doi.org/10.1111/mice.13021
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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. Dans: Energy and Buildings, v. 282 (mars 2023).
https://doi.org/10.1016/j.enbuild.2022.112739
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Fu, Xianlei / Wu, Maozhi / Zhang, Limao (2022): Probabilistic Life Prediction of Tunnel Boring Machine under Wearing Conditions with Incomplete Information. Dans: Buildings, v. 12, n. 11 (27 octobre 2022).
https://doi.org/10.3390/buildings12111959
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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. Dans: Automation in Construction, v. 146 (février 2023).
https://doi.org/10.1016/j.autcon.2022.104668
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Zhou, Yunxiang / Ji, Ankang / Zhang, Limao (2022): Sewer defect detection from 3D point clouds using a transformer-based deep learning model. Dans: Automation in Construction, v. 136 (avril 2022).
https://doi.org/10.1016/j.autcon.2022.104163
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Liu, Yang / Chen, Hongyu / Zhang, Limao / Wang, Xianjia (2021): Risk Prediction and Diagnosis of Water Seepage in Operational Shield Tunnels Based on Random Forest. Dans: Journal of Civil Engineering and Management, v. 27, n. 7 (11 octobre 2021).
https://doi.org/10.3846/jcem.2021.14901
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Guo, Kai / Zhang, Limao (2022): Simulation-based passenger evacuation optimization in metro stations considering multi-objectives. Dans: Automation in Construction, v. 133 (janvier 2022).
https://doi.org/10.1016/j.autcon.2021.104010
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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. Dans: Automation in Construction, v. 132 (décembre 2021).
https://doi.org/10.1016/j.autcon.2021.103963
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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
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Zhang, Gaowei / Pan, Yue / Zhang, Limao (2021): Semi-supervised learning with GAN for automatic defect detection from images. Dans: Automation in Construction, v. 128 (août 2021).
https://doi.org/10.1016/j.autcon.2021.103764
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Chen, Weiyi / Zhang, Limao (2021): Predicting building damages in mega-disasters under uncertainty: An improved Bayesian network learning approach. Dans: Sustainable Cities and Society, v. 66 (mars 2021).
https://doi.org/10.1016/j.scs.2020.102689
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Pan, Yue / Zhang, Limao (2021): Roles of artificial intelligence in construction engineering and management: A critical review and future trends. Dans: Automation in Construction, v. 122 (février 2021).
https://doi.org/10.1016/j.autcon.2020.103517
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Feng, Liuyang / Zhang, Limao / Liao, Xiaowei / Zhang, Wei (2021): Probabilistic fatigue life of welded plate joints under uncertainty in Arctic areas. Dans: Journal of Constructional Steel Research, v. 176 (janvier 2021).
https://doi.org/10.1016/j.jcsr.2020.106412
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Pan, Yue / Zhang, Gaowei / Zhang, Limao (2020): A spatial-channel hierarchical deep learning network for pixel-level automated crack detection. Dans: Automation in Construction, v. 119 (novembre 2020).
https://doi.org/10.1016/j.autcon.2020.103357
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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
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Deng, Qianli / Zhang, Limao / Cui, Qingbin / Jiang, Xianglin (2014): A simulation-based decision model for designing contract period in building energy performance contracting. Dans: Building and Environment, v. 71 (janvier 2014).
https://doi.org/10.1016/j.buildenv.2013.09.010
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Zhang, Limao / Liu, Qian / Wu, Xianguo / Skibniewski, Miroslaw J. (2016): Perceiving Interactions on Construction Safety Behaviors: Workers’ Perspective. Dans: Journal of Management in Engineering (ASCE), v. 32, n. 5 (septembre 2016).
https://doi.org/10.1061/(asce)me.1943-5479.0000454
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Zhang, Limao / Wu, Xianguo / Zhu, Hongping / AbouRizk, Simaan M. (2017): Performing Global Uncertainty and Sensitivity Analysis from Given Data in Tunnel Construction. Dans: Journal of Computing in Civil Engineering, v. 31, n. 6 (novembre 2017).
https://doi.org/10.1061/(asce)cp.1943-5487.0000714
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Zhang, Limao / Wu, Xianguo / Skibniewski, Miroslaw J. (2016): Simulation-Based Analysis of Tunnel Boring Machine Performance in Tunneling Excavation. Dans: Journal of Computing in Civil Engineering, v. 30, n. 4 (juillet 2016).
https://doi.org/10.1061/(asce)cp.1943-5487.0000542
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Zhang, Limao / Liu, Mengjie / Wu, Xianguo / AbouRizk, Simaan M. (2016): Simulation-based route planning for pedestrian evacuation in metro stations: A case study. Dans: Automation in Construction, v. 71 (novembre 2016).
https://doi.org/10.1016/j.autcon.2016.08.031
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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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Liu, Wenli / Wu, Xianguo / Zhang, Limao / Wang, Yanyu (2018): Probabilistic analysis of tunneling-induced building safety assessment using a hybrid FE-copula model. Dans: Structure and Infrastructure Engineering, v. 14, n. 8 (décembre 2018).
https://doi.org/10.1080/15732479.2017.1386691
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Zhang, Limao / Liu, Wenli / Wu, Xianguo / Skibniewski, Miroslaw J. (2018): Simulation-Hybrid Approach to Protecting Aging Bridges against Nearby Tunnel Excavation. Dans: Journal of Performance of Constructed Facilities (ASCE), v. 32, n. 4 (août 2018).
https://doi.org/10.1061/(asce)cf.1943-5509.0001197
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Liu, Wenli / Wu, Xianguo / Zhang, Limao / Wang, Yanyu / Teng, Jiaying (2018): Sensitivity analysis of structural health risk in operational tunnels. Dans: Automation in Construction, v. 94 (octobre 2018).
https://doi.org/10.1016/j.autcon.2018.06.008
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Zhang, Limao / Wu, Xianguo / Zhu, Hongping / AbouRizk, Simaan M. (2017): Perceiving safety risk of buildings adjacent to tunneling excavation: An information fusion approach. Dans: Automation in Construction, v. 73 (janvier 2017).
https://doi.org/10.1016/j.autcon.2016.09.003