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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. Li, Yang / Su, Xin / Zhang, Qi / Huang, Yi / Jia, Ziguang (2023): Model Updating Method for Jacket Platform Considering Different Component Degradation Based on Deep Learning. In: International Journal of Structural Stability and Dynamics, v. 24, n. 7 (August 2023).

    https://doi.org/10.1142/s0219455424500706

  2. Su, Xin / Jia, Ziguang / Ma, Guangda / Qu, Chunxu / Dai, Tongtong / Ren, Liang (2022): Image-Based Crack Detection Method for FPSO Module Support. In: Buildings, v. 12, n. 8 (31 July 2022).

    https://doi.org/10.3390/buildings12081147

  3. Wang, Jiajian / Ren, Liang / Jia, Ziguang / Jiang, Tao / Wang, Guo-Xin (2022): Pipeline leak detection and corrosion monitoring based on a novel FBG pipe-fixture sensor. In: Structural Health Monitoring, v. 21, n. 4 (January 2022).

    https://doi.org/10.1177/14759217211044966

  4. Zhang, Qing / Fu, Xing / Ren, Liang / Jia, Ziguang (2020): Modal parameters of a transmission tower considering the coupling effects between the tower and lines. In: Engineering Structures, v. 220 (October 2020).

    https://doi.org/10.1016/j.engstruct.2020.110947

  5. Xu, Kai / Zhou, Zhenhuan / Lu, Qingzhen / Sun, Jiabin / Jia, Ziguang (2019): Thermo-Mechanical Buckling of CFRP Cylindrical Shells with FGPM Coating. In: International Journal of Structural Stability and Dynamics, v. 19, n. 2 (February 2019).

    https://doi.org/10.1142/s0219455419500160

  6. Jia, Ziguang / Ren, Liang / Li, Hongnan / Jiang, Tao / Wu, Wenlin (2019): Pipeline leakage identification and localization based on the fiber Bragg grating hoop strain measurements and particle swarm optimization and support vector machine. In: Structural Control and Health Monitoring, v. 26, n. 2 (January 2019).

    https://doi.org/10.1002/stc.2290

  7. Zhu, Junxiao / Ren, Liang / Ho, Siu-Chun / Jia, Ziguang / Song, Gangbing (2017): Gas pipeline leakage detection based on PZT sensors. In: Smart Materials and Structures, v. 26, n. 2 (February 2017).

    https://doi.org/10.1088/1361-665x/26/2/025022

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