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Xia, Zhuang / Wang, Jiaqi / Li, Yongsheng / Zhang, Limao / Liu, Changyong (2024): Intelligent design of key joints in aerial building machine using topology optimization and generative adversarial network. Dans: Automation in Construction, v. 168 (décembre 2024).
https://doi.org/10.1016/j.autcon.2024.105747
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Zhang, Limao / Wei, Zeyang / Xiao, Zhonghua / Ji, Ankang / Wu, Beibei (2024): Dual hierarchical attention-enhanced transfer learning for semantic segmentation of point clouds in building scene understanding. Dans: Automation in Construction, v. 168 (décembre 2024).
https://doi.org/10.1016/j.autcon.2024.105799
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He, Renfei / Tiong, Robert L. K. / Yuan, Yong / Zhang, Limao (2024): Enhancing resilience of urban underground space under floods: Current status and future directions. Dans: Tunnelling and Underground Space Technology, v. 147 (mai 2024).
https://doi.org/10.1016/j.tust.2024.105674
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Li, Yongsheng / Sun, Qing / Zhang, Limao / Wang, Zhiyun / Feng, Wengqiang (2023): Online multi-objective optimization for tunnel boring machine segment assembly considering stress concentration. Dans: Automation in Construction, v. 156 (décembre 2023).
https://doi.org/10.1016/j.autcon.2023.105127
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Xu, Hejun / Kim, Jung In / Zhang, Limao / Chen, Jiayu (2023): LOD2 for energy simulation (LOD2ES) for CityGML: A novel level of details model for IFC-based building features extraction and energy simulation. Dans: Journal of Building Engineering, v. 78 (novembre 2023).
https://doi.org/10.1016/j.jobe.2023.107715
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Fu, Xianlei / Ponnarasu, Sasthikapreeya / Zhang, Limao / Tiong, Robert Lee Kong (2024): Online multi-objective optimization for real-time TBM attitude control with spatio-temporal deep learning model. Dans: Automation in Construction, v. 158 (février 2024).
https://doi.org/10.1016/j.autcon.2023.105220
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Wang, Jiaqi / Chen, Ke / Yang, Hui / Zhang, Limao (2024): Ensemble deep learning enabled multi-condition generative design of aerial building machine considering uncertainties. Dans: Automation in Construction, v. 157 (janvier 2024).
https://doi.org/10.1016/j.autcon.2023.105134
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Chang, Leilei / Zhang, Limao (2023): Modified boosting and bagging for building tilt rate prediction in tunnel construction. Dans: Automation in Construction, v. 155 (novembre 2023).
https://doi.org/10.1016/j.autcon.2023.105059
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Li, Xuyang / Pan, Yue / Zhang, Limao / Chen, Jinjian (2023): Dynamic and explainable deep learning-based risk prediction on adjacent building induced by deep excavation. Dans: Tunnelling and Underground Space Technology, v. 140 (octobre 2023).
https://doi.org/10.1016/j.tust.2023.105243
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Ramani, Vasantha / Zhang, Limao (2022): Impacts of climate change on long-term reliability of reinforced concrete structures due to chloride ingress. Dans: Construction and Building Materials, v. 354 (novembre 2022).
https://doi.org/10.1016/j.conbuildmat.2022.129091
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Guo, Kai / Zhang, Limao (2022): Multi-objective optimization for improved project management: Current status and future directions. Dans: Automation in Construction, v. 139 (juillet 2022).
https://doi.org/10.1016/j.autcon.2022.104256
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Wang, Yongqi / Thangasamy, Vimal Kumar / Tiong, Robert L. K. / Zhang, Limao (2022): Improved Workflow for Precast Element Design Based on BIM and Lean Construction. Dans: Journal of Construction Engineering and Management, v. 148, n. 8 (août 2022).
https://doi.org/10.1061/(asce)co.1943-7862.0002316
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Xu, Zhiwei / Dai, Gonglian / Zhang, Limao / Chen, Y. Frank / Flay, Richard G. J. / Rao, Huiming (2022): Effect of non-Gaussian turbulence on extreme buffeting response of a high-speed railway sea-crossing bridge. Dans: Journal of Wind Engineering and Industrial Aerodynamics, v. 224 (mai 2022).
https://doi.org/10.1016/j.jweia.2022.104981
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Pan, Yue / Zhang, Limao (2022): Mitigating tunnel-induced damages using deep neural networks. Dans: Automation in Construction, v. 138 (juin 2022).
https://doi.org/10.1016/j.autcon.2022.104219
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Ji, Ankang / Chew, Alvin Wei Ze / Xue, Xiaolong / Zhang, Limao (2022): An encoder-decoder deep learning method for multi-class object segmentation from 3D tunnel point clouds. Dans: Automation in Construction, v. 137 (mai 2022).
https://doi.org/10.1016/j.autcon.2022.104187
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Zhang, Limao / Li, Rongyao (2022): Impacts of green certification programs on energy consumption and GHG emissions in buildings: A spatial regression approach. Dans: Energy and Buildings, v. 256 (février 2022).
https://doi.org/10.1016/j.enbuild.2021.111677
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Chew, Alvin Wei Ze / Ji, Ankang / Zhang, Limao (2022): Large-scale 3D point-cloud semantic segmentation of urban and rural scenes using data volume decomposition coupled with pipeline parallelism. Dans: Automation in Construction, v. 133 (janvier 2022).
https://doi.org/10.1016/j.autcon.2021.103995
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Zhang, Limao / Pan, Yue (2022): Multi-source information fusion for automated post-disaster building damage evaluation using deep neural network. Dans: Sustainable Cities and Society, v. 77 (février 2022).
https://doi.org/10.1016/j.scs.2021.103574
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Zhang, Jiaming / Wang, Tao / Zhang, Limao (2021): Legal Risk Assessment Framework for International PPP Projects Based on Metanetwork. Dans: Journal of Construction Engineering and Management, v. 147, n. 8 (août 2021).
https://doi.org/10.1061/(asce)co.1943-7862.0002110
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Luo, Lan / Zhang, Limao / Zheng, Xian / Wu, Guangdong (2021): A hybrid approach for investigating impacts of leadership dynamics on project performance. Dans: Engineering, Construction and Architectural Management, v. 29, n. 5 (juin 2021).
https://doi.org/10.1108/ecam-02-2020-0094
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Luo, Lan / Zhang, Limao / He, Qinghua (2020): Linking project complexity to project success: a hybrid SEM–FCM method. Dans: Engineering, Construction and Architectural Management, v. 27, n. 9 ( 2020).
https://doi.org/10.1108/ecam-05-2019-0241
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Li, Qing / Zhang, Lianying / Zhang, Limao / Jha, Sunil (2021): Exploring multi-level motivations towards green design practices: A system dynamics approach. Dans: Sustainable Cities and Society, v. 64 (janvier 2021).
https://doi.org/10.1016/j.scs.2020.102490
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Guo, Kai / Zhang, Limao (2021): Multi-objective optimization in tunnel line alignment under uncertainty. Dans: Automation in Construction, v. 122 (février 2021).
https://doi.org/10.1016/j.autcon.2020.103504
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Li, Hong Xian / Zhang, Limao / Mah, Don / Yu, Haitao (2017): An integrated simulation and optimization approach for reducing CO 2 emissions from on-site construction process in cold regions. Dans: Energy and Buildings, v. 138 (mars 2017).
https://doi.org/10.1016/j.enbuild.2016.12.030
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Ding, Liping / Wu, Xianguo / Zhang, Limao / Skibniewski, Miroslaw J. (2015): How to protect historical buildings against tunnel-induced damage: A case study in China. Dans: Journal of Cultural Heritage, v. 16, n. 6 (novembre 2015).
https://doi.org/10.1016/j.culher.2015.03.001
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Zhang, Limao / Wu, Xianguo / Ding, Lieyun / Skibniewski, Miroslaw J. (2013): A novel model for risk assessment of adjacent buildings in tunneling environments. Dans: Building and Environment, v. 65 (juillet 2013).
https://doi.org/10.1016/j.buildenv.2013.04.008
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Zhang, Limao / Wu, Xianguo / Liu, Wenli / Skibniewski, Miroslaw J. (2019): Optimal Strategy to Mitigate Tunnel-Induced Settlement in Soft Soils: Simulation Approach. Dans: Journal of Performance of Constructed Facilities (ASCE), v. 33, n. 5 (octobre 2019).
https://doi.org/10.1061/(asce)cf.1943-5509.0001322
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Zhang, Yan / Zhang, Limao / Wu, Xianguo (2019): Hybrid BN Approach to Analyzing Risk in Tunnel-Induced Bridge Damage. Dans: Journal of Performance of Constructed Facilities (ASCE), v. 33, n. 5 (octobre 2019).
https://doi.org/10.1061/(asce)cf.1943-5509.0001310
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Liu, Wenli / Wu, Xianguo / Zhang, Limao / Zheng, JunJie / Teng, Jiaying (2017): Global Sensitivity Analysis of Tunnel-Induced Building Movements by a Precise Metamodel. Dans: Journal of Computing in Civil Engineering, v. 31, n. 5 (septembre 2017).
https://doi.org/10.1061/(asce)cp.1943-5487.0000681
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Zhang, Limao / Wu, Xianguo / Ji, Wenying / AbouRizk, Simaan M. (2017): Intelligent Approach to Estimation of Tunnel-Induced Ground Settlement Using Wavelet Packet and Support Vector Machines. Dans: Journal of Computing in Civil Engineering, v. 31, n. 2 (mars 2017).
https://doi.org/10.1061/(asce)cp.1943-5487.0000621