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September 20, 2025OpticsOpen Access

Research on Monitoring and Intelligent Identification of Typical Defects in Small and Medium-Sized Bridges Based on Ultra-Weak FBG Sensing Array

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Authors

XLXinyan LinYZYichan ZhangYKYinglong Kang

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Overview

Research proposes efficient monitoring and machine learning-based identification of structural damages in small and medium-sized bridges, indicating enhanced detection capabilities.

Key Points

  • Integration of ultra-weak fiber bragg grating sensing enhances monitoring of bridge structural damages, optimizing recognition processes.
  • Systematic analysis through experimental scenarios helps detail strain evolution patterns for various structural damage types, enhancing diagnosis.
  • Machine learning algorithms improve efficiency and accuracy in identifying damages, overcoming limitations in traditional monitoring systems.
  • Results indicate the promising potential for engineering applications in automated damage recognition using advanced sensing technology.

Cite This Study

Lin et al. (2025) studied this question.

synapsesocial.com/papers/68d46fc631b076d99fa69d3dhttps://doi.org/10.3390/opt6030043
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