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Yanxin Yang 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. Lu, Hua / Yang, Yanxin / Lin, Ziyun / Zhan, Xudong (2024): Prediction of Liquefaction Triggering Time Based on Seismic Records. Dans: Iranian Journal of Science and Technology, Transactions of Civil Engineering, v. 48, n. 5 (avril 2024).

    https://doi.org/10.1007/s40996-024-01342-8

  2. Cao, Shuai / Wang, Qinke / Ma, Jianlin / Xiao, Zili / Li, Chaoyi / Yang, Yanxin / Wang, Jun (2023): Experimental Investigation of Vertical Bearing Characteristics of Composite Post-grouting Piles in Sandy Soil. Dans: International Journal of Civil Engineering, v. 22, n. 2 (septembre 2023).

    https://doi.org/10.1007/s40999-023-00899-1

  3. Yang, Yanxin / Kavazanjian, Edward (2021): Numerical evaluation of liquefaction-induced lateral spreading with an advanced plasticity model for liquefiable sand. Dans: Soil Dynamics and Earthquake Engineering, v. 149 (octobre 2021).

    https://doi.org/10.1016/j.soildyn.2021.106871

  4. Yang, Yanxin / Ma, Jianlin / Huang, Yong (2019): A Wireless Railway Monitoring System of Problematic Substructure in Tunnel. Dans: Stavební obzor - Civil Engineering Journal, v. 28, n. 2 ( 2019).

    https://doi.org/10.14311/cej.2019.02.0019

  5. Yang, Yanxin / Chen, Junhua / Zhang, Zhenqiang / Ma, Jianlin (2020): Evaluating Lateral Spreading Using Newmark Method Based on Liquefaction Triggering. Dans: Advances in Civil Engineering, v. 2020 (janvier 2020).

    https://doi.org/10.1155/2020/8406062

  6. Yang, Yanxin / Yang, Bai / Su, Chunhui / Ma, Jianlin (2020): Application of Residual Shear Strength Predicted by Artificial Neural Network Model for Evaluating Liquefaction-Induced Lateral Spreading. Dans: Advances in Civil Engineering, v. 2020 (janvier 2020).

    https://doi.org/10.1155/2020/8886781

  7. Yang, Yanxin / Kavazanjian, Edward (2020): Newmark Analysis of Lateral Spreading Induced by Liquefaction. Dans: Journal of Earthquake Engineering, v. 26, n. 6 (novembre 2020).

    https://doi.org/10.1080/13632469.2020.1784316

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