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Structural edge damage detection based on wavelet transform and immune genetic algorithm.

Jianwei Zhao1, Zhuo Zhou1, Deqing Guan2,3

  • 1Department of Civil Engineering, Changsha University of Science and Technology, Changsha, Hunan, China.

Scientific Reports
|February 5, 2025
PubMed
Summary
This summary is machine-generated.

This study introduces a novel two-stage method using wavelet transform (WT) and an immune-genetic algorithm to accurately detect and assess structural edge damage, overcoming limitations of traditional intelligent algorithms.

Keywords:
Edge effectFitting extensionImmune-geneticIntelligent algorithmsWavelet transform

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Area of Science:

  • Structural Health Monitoring
  • Vibrational Analysis
  • Computational Mechanics

Background:

  • Wavelet transform (WT) is effective for damage detection in structural strain modes.
  • Edge effects in WT obscure damage identification in structural edges.
  • Intelligent algorithms for damage severity assessment suffer from premature convergence and local optima.

Purpose of the Study:

  • To develop a robust method for locating and assessing edge damage in structures.
  • To mitigate edge effects in wavelet transform analysis.
  • To enhance the performance of intelligent algorithms in damage severity identification.

Main Methods:

  • Utilized WT with a fitting extension of vibration signals to address edge effects in damage location.
  • Employed an immune-genetic algorithm, combining genetic and immune principles, for damage severity identification.
  • Validated the two-stage method via finite element simulations and experimental vibration tests on beams and frames.

Main Results:

  • The proposed method precisely characterizes edge damage.
  • Demonstrated robustness against noise in structural analysis.
  • Exhibited high sensitivity for detecting edge damage, outperforming traditional approaches.

Conclusions:

  • The integrated wavelet transform and immune-genetic algorithm approach effectively overcomes limitations in edge damage detection and severity assessment.
  • This method offers a significant advancement in structural health monitoring for identifying subtle structural damages.