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Changbai Wang 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. Liu, Qinghua / Liu, Jimin / Wang, Changbai / Tan, Weibo / Pei, Chunning / Wang, Lei / Chen, Peiyuan: Internal Curing for Tunnel Self-Compacting Concrete Using Pre-Soaked Coal Gangue: A Promising Way for Spot Utilization of Coal Gangue. Dans: Iranian Journal of Science and Technology, Transactions of Civil Engineering.

    https://doi.org/10.1007/s40996-024-01636-x

  2. Xu, Shuzhan / Liu, Quansheng / Bo, Yin / Chen, Zitao / Wang, Changbai (2024): Estimating the International Roughness Index of asphalt concrete pavement by response-based testing equipment and intelligent algorithms. Dans: Construction and Building Materials, v. 433 (juin 2024).

    https://doi.org/10.1016/j.conbuildmat.2024.136659

  3. Li, Yafeng / Nie, Rusong / Guo, Yipeng / Zhang, Qishu / Dong, Junli / Wang, Changbai / Wang, Qiang (2024): Backbone curves of subgrade silty filler under intermittent train-induced loading. Dans: Construction and Building Materials, v. 414 (février 2024).

    https://doi.org/10.1016/j.conbuildmat.2024.134926

  4. Song, Yuan / Wang, Changbai / Huang, Mingli / Li, Ran / Wang, Qiang (2024): Mechanical characteristics and stability analysis of an innovative type of steel–concrete composite support in shallow-buried excavation tunnels. Dans: Tunnelling and Underground Space Technology, v. 145 (mars 2024).

    https://doi.org/10.1016/j.tust.2023.105581

  5. Wang, Changbai / Xiao, Wei / Liu, Jimin (2023): Developing an improved extreme gradient boosting model for predicting the international roughness index of rigid pavement. Dans: Construction and Building Materials, v. 408 (décembre 2023).

    https://doi.org/10.1016/j.conbuildmat.2023.133523

  6. Liu, Chenxu / Wang, Changbai / Xiao, Wei / Wu, Jianyang / Gao, Mengcheng (2023): Study on the performance of calcined spent waterglass foundry sand in alkali-activated foam concrete. Dans: Construction and Building Materials, v. 378 (mai 2023).

    https://doi.org/10.1016/j.conbuildmat.2023.131151

  7. Xu, Shuzhan / Yang, Junxin / Wang, Changbai (2022): An Improved Neural Network Model for Enhancing Rutting Depth Prediction. Dans: The Baltic Journal of Road and Bridge Engineering, v. 17, n. 3 (septembre 2022).

    https://doi.org/10.7250/bjrbe.2022-17.572

  8. Wang, Changbai / Liu, Chenxu / Zhang, Liheng / Wang, Cheng / Xu, Shuzhan / Yang, Junxin (2022): Exploring calcined coal gangue fines as the total substitute of fly ash in the production of alkali-activated slag/fly ash materials. Dans: Case Studies in Construction Materials, v. 17 (décembre 2022).

    https://doi.org/10.1016/j.cscm.2022.e01332

  9. Wang, Changbai / Xu, Shuzhan / Liu, Jimin / Yang, Junxin / Liu, Chenxu (2022): Building an improved artificial neural network model based on deeply optimizing the input variables to enhance rutting prediction. Dans: Construction and Building Materials, v. 348 (septembre 2022).

    https://doi.org/10.1016/j.conbuildmat.2022.128658

  10. Cai, Haibing / Hong, Rongbao / Xu, Liuxun / Wang, Changbai / Rong, Chuanxin (2022): Frost heave and thawing settlement of the ground after using a freeze-sealing pipe-roof method in the construction of the Gongbei Tunnel. Dans: Tunnelling and Underground Space Technology, v. 125 (juillet 2022).

    https://doi.org/10.1016/j.tust.2022.104503

  11. Liu, Jimin / Cheng, Hua / Rong, Chuanxin / Wang, Changbai (2020): Analysis of Cusp Catastrophic Model for Vertical Stability of Drilling Shaft Lining. Dans: Advances in Civil Engineering, v. 2020 (janvier 2020).

    https://doi.org/10.1155/2020/8891751

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