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The following bibliography contains all publications indexed in this database that are linked with this name as either author, editor or any other kind of contributor.

  1. Qian, Ji / Zhou, Linqiang / Huang, Qi / Li, Jianbin (2024): Tension evaluation of prestressed strand based on combined features of nonlinear ultrasonic mixing. In: Structural Health Monitoring, v. 23, n. 5 (February 2024).

    https://doi.org/10.1177/14759217231217162

  2. Li, Jianbin / Jiang, Zeshuo / Chen, ZhiQiang / Liu, Jinwei / Cheng, Long (2024): CuEMS: Deep reinforcement learning for community control of energy management systems in microgrids. In: Energy and Buildings, v. 304 (February 2024).

    https://doi.org/10.1016/j.enbuild.2023.113865

  3. Huo, Junzhou / Zhang, Zhange / Meng, Zhichao / Li, Jianbin / Wu, Hanyang / Jia, Lianhui (2021): Dynamic analysis and experimental study of a Tunnel boring Machine testbed under multiple conditions. In: Engineering Failure Analysis, v. 127 (September 2021).

    https://doi.org/10.1016/j.engfailanal.2021.105557

  4. Cheng, Hongzhan / Chen, Jian / Li, Jianbin (2019): Probabilistic Analysis of Ground Movements Caused by Tunneling in a Spatially Variable Soil. In: International Journal of Geomechanics, v. 19, n. 12 (December 2019).

    https://doi.org/10.1061/(asce)gm.1943-5622.0001526

  5. Chen, Zuyu / Zhang, Yunpei / Li, Jianbin / Li, Xu / Jing, Liujie (2021): Diagnosing tunnel collapse sections based on TBM tunneling big data and deep learning: A case study on the Yinsong Project, China. In: Tunnelling and Underground Space Technology, v. 108 (February 2021).

    https://doi.org/10.1016/j.tust.2020.103700

  6. Wang, Ruirui / Wang, Yaxu / Li, Jianbin / Jing, Liujie / Zhao, Guangzu / Nie, Lichao (2020): A TBM Cutter Life Prediction Method Based on Rock Mass Classification. In: KSCE Journal of Civil Engineering, v. 24, n. 9 (July 2020).

    https://doi.org/10.1007/s12205-020-1511-2

  7. Li, Jianbin / Jing, Liujie / Zheng, Xiaofeng / Li, Pengyu / Yang, Chen (2019): Application and outlook of information and intelligence technology for safe and efficient TBM construction. In: Tunnelling and Underground Space Technology, v. 93 (November 2019).

    https://doi.org/10.1016/j.tust.2019.103097

  8. Liu, Bin / Wang, Ruirui / Guan, Zengda / Li, Jianbin / Xu, Zhenhao / Guo, Xu / Wang, Yaxu (2019): Improved support vector regression models for predicting rock mass parameters using tunnel boring machine driving data. In: Tunnelling and Underground Space Technology, v. 91 (September 2019).

    https://doi.org/10.1016/j.tust.2019.04.014

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