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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. Song, Yuwei / Wang, Yuchi / Sun, Xiping / Xue, Runze / Wang, Yuanzhan / Liu, Boda (2024): Experimental investigation on bond properties between rebar and concrete considering rebar corrosion and concrete deterioration caused by sulfate attack. Dans: Construction and Building Materials, v. 418 (mars 2024).

    https://doi.org/10.1016/j.conbuildmat.2024.135352

  2. Song, Yuwei / Wang, Yuchi / Zhang, Tao / Wang, Yuanzhan (2024): Experimental Investigation on Mechanical Properties and Ions Transmission Law of Concrete under Capillary Action in Water Level Fluctuating Environment. Dans: Journal of Materials in Civil Engineering (ASCE), v. 36, n. 2 (février 2024).

    https://doi.org/10.1061/jmcee7.mteng-17019

  3. Wang, Yuanzhan / Song, Yuwei / Xue, Jiacheng / Sun, Xiping / Xue, Runze (2023): Effects of incorporating polynary SCMs on sulfate resistance and chloride impermeability of concrete considering capillary action in dry-wet cycling environment. Dans: Construction and Building Materials, v. 395 (septembre 2023).

    https://doi.org/10.1016/j.conbuildmat.2023.132262

  4. Sun, Yao / Fu, Ziyang / Song, Yuwei / Xia, Jun (2023): Cross-Sectional Behavior of Aluminum Alloy Channel Section Stub Columns after Exposure to Fire. Dans: Journal of Structural Engineering (ASCE), v. 149, n. 7 (juillet 2023).

    https://doi.org/10.1061/jsendh.steng-12383

  5. Wang, Yuanzhan / Song, Yuwei / Yan, Bochen / Yuan, Chunkun / Wang, Dong / Guo, Wentao (2022): Experimental study of chloride transport law in concrete considering the coupling effects of dry-wet ratio and freeze–thaw damage. Dans: Construction and Building Materials, v. 351 (octobre 2022).

    https://doi.org/10.1016/j.conbuildmat.2022.128940

  6. Meng, Chengyu / Song, Yuwei / Ji, Jiaqi / Jia, Ziyu / Zhou, Zhengxu / Gao, Peng / Liu, Sunxiangyu (2021): Automatic classification of rural building characteristics using deep learning methods on oblique photography. Dans: Building Simulation, v. 15, n. 6 (décembre 2021).

    https://doi.org/10.1007/s12273-021-0872-x

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