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Research on Damage Identification and Safety Assessment Methods for Nearby Existing Tunnel Structures Due to Vibration from Metro Shield Construction

  • Jiaxi Liu,
  • Chuanmeng Wei,
  • Kun Zhao,
  • Rui Zhang

摘要

In the field of urban underground engineering, the identification of damage and the safety assessment of nearby existing tunnel structures due to vibrations from Metro Shield Construction are of paramount importance. With the continuous expansion of urban subway systems, the vibrations generated by shield excavation can have varying degrees of impact on existing underground structures, posing threats to their safety. To address this concern, researchers have conducted in-depth studies and proposed an advanced method based on wavelet packet analysis and neural networks. This method involves monitoring vibration response signals from multiple measurement points, extracting feature vectors, and utilizing a genetic algorithm for neural network training, successfully achieving damage identification. Additionally, the application of Dempster-Shafer evidence theory is anticipated to play a crucial role in dealing with uncertainties. This research provides essential technical support for ensuring the safety of urban underground transportation and infrastructure, contributing to a better understanding and assessment of the potential risks associated with vibrations caused by Metro Shield Construction.