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Liang Yuan 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. Li, Renge / Huang, Chenyu / Xin, Weilin / Ye, Jiahong / Zhang, Xue / Qu, Rong / Wang, Jinyu / Yuan, Liang / Yao, Jiawei (2025): Data-driven optimization reveals the impact of Urban Heat Island effect on the retrofit potential of building envelopes. Dans: Building and Environment, v. 269 (février 2025).

    https://doi.org/10.1016/j.buildenv.2024.112367

  2. Zhang, Qinghe / Li, Weiguo / Yuan, Liang / Liang, Chao / Pan, Honggui (2024): A rapid method for measuring the rock brittleness index: Rapid characterization of rock brittleness based on LIBS technology. Dans: Tunnelling and Underground Space Technology, v. 154 (décembre 2024).

    https://doi.org/10.1016/j.tust.2024.106143

  3. Yuan, Liang / Lu, Weisheng / Yang, Bing / Peng, Ziyu (2024): Strength of Strong Ties: Empirical Evidence from the Construction Waste Hauling Business in Hong Kong. Dans: Journal of Management in Engineering (ASCE), v. 40, n. 6 (novembre 2024).

    https://doi.org/10.1061/jmenea.meeng-6111

  4. Zhang, Qinghe / Zheng, Tianle / Yuan, Liang / Li, Xue / Li, Weiguo / Wang, Xiaorui (2024): A semi-Naïve Bayesian rock burst intensity prediction model based on average one-dependent estimator and incremental learning. Dans: Tunnelling and Underground Space Technology, v. 146 (avril 2024).

    https://doi.org/10.1016/j.tust.2024.105666

  5. Yuan, Liang / Wang, Kun / Xue, Sihan / Yin, Shi / Zhan, Qiaosheng / Chao, Xinfeng (2024): Assessing and enhancing the applicability of standard effective temperature in outdoor thermal sensation prediction for continental climates. Dans: Energy and Buildings, v. 305 (février 2024).

    https://doi.org/10.1016/j.enbuild.2024.113894

  6. Yuan, Liang / Qu, Rong / Chen, Tianyu / An, Na / Huang, Chenyu / Yao, Jiawei (2023): Calibrating thermal sensation vote scales for different short_term thermal histories using ensemble learning. Dans: Building and Environment, v. 246 (décembre 2023).

    https://doi.org/10.1016/j.buildenv.2023.110998

  7. Liu, Qian / Liao, Zaiyi / Guo, Qi / Degefu, Dagmawi Mulugeta / Yuan, Liang / Jiang, Shenjun / Jian, Feihong (2023): Evaluating the Impact of Macroeconomic Policy Interventions and Recession on a Sewage Treatment PPP Project Using a System Dynamic Model. Dans: Advances in Civil Engineering, v. 2023 (février 2023).

    https://doi.org/10.1155/2023/2351910

  8. Hao, Xianjie / Yuan, Liang / Sun, Zhuowen / Zhao, Yinpen / Ren, Bo / Zhao, Defu / Xue, Junhua / Zhang, Xiangyang / Yu, Guofeng / Zhang, Qian (2022): An integrated study of physical and numerical modelling on the stability of underground tunnel influenced by unloading rate. Dans: Tunnelling and Underground Space Technology, v. 129 (novembre 2022).

    https://doi.org/10.1016/j.tust.2022.104602

  9. Wang, Hanpeng / Zhang, Bing / Yuan, Liang / Wang, Su / Yu, Guofeng / Liu, Zhongzhong (2022): Analysis of precursor information for coal and gas outbursts induced by roadway tunneling: A simulation test study for the whole process. Dans: Tunnelling and Underground Space Technology, v. 122 (avril 2022).

    https://doi.org/10.1016/j.tust.2021.104349

  10. Yuan, Liang / Guo, Jingjing / Wang, Qian (2020): Automatic classification of common building materials from 3D terrestrial laser scan data. Dans: Automation in Construction, v. 110 (février 2020).

    https://doi.org/10.1016/j.autcon.2019.103017

  11. Guo, Jingjing / Yuan, Liang / Wang, Qian (2020): Time and cost analysis of geometric quality assessment of structural columns based on 3D terrestrial laser scanning. Dans: Automation in Construction, v. 110 (février 2020).

    https://doi.org/10.1016/j.autcon.2019.103014

  12. Huang, Guodong / Yuan, Liang / Ji, Yongsheng / Liu, Benlin / Xu, Zhishan (2019): Cooperative action and compatibility between Portland cement and MSWI bottom ash alkali-activated double gel system materials. Dans: Construction and Building Materials, v. 209 (juin 2019).

    https://doi.org/10.1016/j.conbuildmat.2019.03.141

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