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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. Chen, Jiahui / Li, Qiuyi / Zhang, Shijie / Lin, Chao / Wei, Shiyin (2024): Adaptive Vibration Monitoring of Railway Track Structures Using the UWFBG by the Identification of Train-Load Patterns. In: Buildings, v. 14, n. 5 (24 April 2024).

    https://doi.org/10.3390/buildings14051239

  2. Deng, Fan / Wei, Shiyin / Xu, Yang / Li, Hui (2024): Damage identification of long-span bridges based on the correlation of monitored global dynamic responses in high dimensional space. In: Engineering Structures, v. 299 (January 2024).

    https://doi.org/10.1016/j.engstruct.2023.117134

  3. Lei, Xinyi / Chen, Zhicheng / Li, Hui / Wei, Shiyin (2022): A change-point detection method for detecting and locating the abrupt changes in distributions of damage-sensitive features of SHM data, with application to structural condition assessment. In: Structural Health Monitoring, v. 22, n. 2 (May 2022).

    https://doi.org/10.1177/14759217221101320

  4. Wei, Shiyin / Bao, Yuequan / Li, Hui (2020): Optimal policy for structure maintenance: A deep reinforcement learning framework. In: Structural Safety, v. 83 (March 2020).

    https://doi.org/10.1016/j.strusafe.2019.101906

  5. Xu, Yang / Wei, Shiyin / Bao, Yuequan / Li, Hui (2019): Automatic seismic damage identification of reinforced concrete columns from images by a region-based deep convolutional neural network. In: Structural Control and Health Monitoring, v. 26, n. 3 (February 2019).

    https://doi.org/10.1002/stc.2313

  6. Wei, Shiyin / Zhang, Zhaohui / Li, Shunlong / Li, Hui (2017): Strain features and condition assessment of orthotropic steel deck cable-supported bridges subjected to vehicle loads by using dense FBG strain sensors. In: Smart Materials and Structures, v. 26, n. 10 (October 2017).

    https://doi.org/10.1088/1361-665x/aa7600

  7. Li, Shunlong / Wei, Shiyin / Bao, Yuequan / Li, Hui (2018): Condition assessment of cables by pattern recognition of vehicle-induced cable tension ratio. In: Engineering Structures, v. 155 (January 2018).

    https://doi.org/10.1016/j.engstruct.2017.09.063

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