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Limao Zhang ORCID

Die folgende Bibliografie enthält alle in dieser Datenbank indizierten Veröffentlichungen, die mit diesem Namen als Autor, Herausgeber oder anderweitig Beitragenden verbunden sind.

  1. He, Renfei / Tiong, Robert L. K. / Yuan, Yong / Zhang, Limao (2024): Enhancing resilience of urban underground space under floods: Current status and future directions. In: Tunnelling and Underground Space Technology, v. 147 (Mai 2024).

    https://doi.org/10.1016/j.tust.2024.105674

  2. Li, Yongsheng / Sun, Qing / Zhang, Limao / Wang, Zhiyun / Feng, Wengqiang (2023): Online multi-objective optimization for tunnel boring machine segment assembly considering stress concentration. In: Automation in Construction, v. 156 (Dezember 2023).

    https://doi.org/10.1016/j.autcon.2023.105127

  3. 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. In: Journal of Building Engineering, v. 78 (November 2023).

    https://doi.org/10.1016/j.jobe.2023.107715

  4. 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. In: Automation in Construction, v. 158 (Februar 2024).

    https://doi.org/10.1016/j.autcon.2023.105220

  5. Wang, Jiaqi / Chen, Ke / Yang, Hui / Zhang, Limao (2024): Ensemble deep learning enabled multi-condition generative design of aerial building machine considering uncertainties. In: Automation in Construction, v. 157 (Januar 2024).

    https://doi.org/10.1016/j.autcon.2023.105134

  6. Chang, Leilei / Zhang, Limao (2023): Modified boosting and bagging for building tilt rate prediction in tunnel construction. In: Automation in Construction, v. 155 (November 2023).

    https://doi.org/10.1016/j.autcon.2023.105059

  7. Ramani, Vasantha / Zhang, Limao (2022): Impacts of climate change on long-term reliability of reinforced concrete structures due to chloride ingress. In: Construction and Building Materials, v. 354 (November 2022).

    https://doi.org/10.1016/j.conbuildmat.2022.129091

  8. Guo, Kai / Zhang, Limao (2022): Multi-objective optimization for improved project management: Current status and future directions. In: Automation in Construction, v. 139 (Juli 2022).

    https://doi.org/10.1016/j.autcon.2022.104256

  9. Wang, Yongqi / Thangasamy, Vimal Kumar / Tiong, Robert L. K. / Zhang, Limao (2022): Improved Workflow for Precast Element Design Based on BIM and Lean Construction. In: Journal of Construction Engineering and Management, v. 148, n. 8 (August 2022).

    https://doi.org/10.1061/(asce)co.1943-7862.0002316

  10. 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. In: Journal of Wind Engineering and Industrial Aerodynamics, v. 224 (Mai 2022).

    https://doi.org/10.1016/j.jweia.2022.104981

  11. Pan, Yue / Zhang, Limao (2022): Mitigating tunnel-induced damages using deep neural networks. In: Automation in Construction, v. 138 (Juni 2022).

    https://doi.org/10.1016/j.autcon.2022.104219

  12. 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. In: Automation in Construction, v. 137 (Mai 2022).

    https://doi.org/10.1016/j.autcon.2022.104187

  13. Zhang, Limao / Li, Rongyao (2022): Impacts of green certification programs on energy consumption and GHG emissions in buildings: A spatial regression approach. In: Energy and Buildings, v. 256 (Februar 2022).

    https://doi.org/10.1016/j.enbuild.2021.111677

  14. 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. In: Automation in Construction, v. 133 (Januar 2022).

    https://doi.org/10.1016/j.autcon.2021.103995

  15. Zhang, Limao / Pan, Yue (2022): Multi-source information fusion for automated post-disaster building damage evaluation using deep neural network. In: Sustainable Cities and Society, v. 77 (Februar 2022).

    https://doi.org/10.1016/j.scs.2021.103574

  16. Zhang, Jiaming / Wang, Tao / Zhang, Limao (2021): Legal Risk Assessment Framework for International PPP Projects Based on Metanetwork. In: Journal of Construction Engineering and Management, v. 147, n. 8 (August 2021).

    https://doi.org/10.1061/(asce)co.1943-7862.0002110

  17. Luo, Lan / Zhang, Limao / Zheng, Xian / Wu, Guangdong (2021): A hybrid approach for investigating impacts of leadership dynamics on project performance. In: Engineering, Construction and Architectural Management, v. 29, n. 5 (Juni 2021).

    https://doi.org/10.1108/ecam-02-2020-0094

  18. Luo, Lan / Zhang, Limao / He, Qinghua (2020): Linking project complexity to project success: a hybrid SEM–FCM method. In: Engineering, Construction and Architectural Management, v. 27, n. 9 ( 2020).

    https://doi.org/10.1108/ecam-05-2019-0241

  19. Li, Qing / Zhang, Lianying / Zhang, Limao / Jha, Sunil (2021): Exploring multi-level motivations towards green design practices: A system dynamics approach. In: Sustainable Cities and Society, v. 64 (Januar 2021).

    https://doi.org/10.1016/j.scs.2020.102490

  20. Guo, Kai / Zhang, Limao (2021): Multi-objective optimization in tunnel line alignment under uncertainty. In: Automation in Construction, v. 122 (Februar 2021).

    https://doi.org/10.1016/j.autcon.2020.103504

  21. 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. In: Energy and Buildings, v. 138 (März 2017).

    https://doi.org/10.1016/j.enbuild.2016.12.030

  22. Ding, Liping / Wu, Xianguo / Zhang, Limao / Skibniewski, Miroslaw J. (2015): How to protect historical buildings against tunnel-induced damage: A case study in China. In: Journal of Cultural Heritage, v. 16, n. 6 (November 2015).

    https://doi.org/10.1016/j.culher.2015.03.001

  23. Zhang, Limao / Wu, Xianguo / Ding, Lieyun / Skibniewski, Miroslaw J. (2013): A novel model for risk assessment of adjacent buildings in tunneling environments. In: Building and Environment, v. 65 (Juli 2013).

    https://doi.org/10.1016/j.buildenv.2013.04.008

  24. Zhang, Limao / Liu, Qian / Wu, Xianguo / Skibniewski, Miroslaw J. (2016): Perceiving Interactions on Construction Safety Behaviors: Workers’ Perspective. In: Journal of Management in Engineering (ASCE), v. 32, n. 5 (September 2016).

    https://doi.org/10.1061/(asce)me.1943-5479.0000454

  25. Zhang, Limao / Wu, Xianguo / Liu, Wenli / Skibniewski, Miroslaw J. (2019): Optimal Strategy to Mitigate Tunnel-Induced Settlement in Soft Soils: Simulation Approach. In: Journal of Performance of Constructed Facilities (ASCE), v. 33, n. 5 (Oktober 2019).

    https://doi.org/10.1061/(asce)cf.1943-5509.0001322

  26. Zhang, Yan / Zhang, Limao / Wu, Xianguo (2019): Hybrid BN Approach to Analyzing Risk in Tunnel-Induced Bridge Damage. In: Journal of Performance of Constructed Facilities (ASCE), v. 33, n. 5 (Oktober 2019).

    https://doi.org/10.1061/(asce)cf.1943-5509.0001310

  27. Zhang, Limao / Wu, Xianguo / Zhu, Hongping / AbouRizk, Simaan M. (2017): Performing Global Uncertainty and Sensitivity Analysis from Given Data in Tunnel Construction. In: Journal of Computing in Civil Engineering, v. 31, n. 6 (November 2017).

    https://doi.org/10.1061/(asce)cp.1943-5487.0000714

  28. Liu, Wenli / Wu, Xianguo / Zhang, Limao / Zheng, JunJie / Teng, Jiaying (2017): Global Sensitivity Analysis of Tunnel-Induced Building Movements by a Precise Metamodel. In: Journal of Computing in Civil Engineering, v. 31, n. 5 (September 2017).

    https://doi.org/10.1061/(asce)cp.1943-5487.0000681

  29. 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. In: Journal of Computing in Civil Engineering, v. 31, n. 2 (März 2017).

    https://doi.org/10.1061/(asce)cp.1943-5487.0000621

  30. Zhang, Limao / Wu, Xianguo / Zhu, Hongping / AbouRizk, Simaan M. (2017): Perceiving safety risk of buildings adjacent to tunneling excavation: An information fusion approach. In: Automation in Construction, v. 73 (Januar 2017).

    https://doi.org/10.1016/j.autcon.2016.09.003

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