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11. A Review of Structural Health Monitoring and Damage Detection Techniques in Frames and Bridges

  • 2025
  • OriginalPaper
  • Chapter
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Abstract

Structural health monitoring and damage detection are pivotal in maintaining the integrity and safety of critical infrastructure such as frames and bridges. This chapter explores a wide array of techniques, from traditional inspection methods to advanced signal processing and machine learning algorithms. Key topics include the use of Hilbert transforms for analyzing non-stationary signals, signal transformation methods like continuous wavelet transforms, and the application of vibrational modes to identify structural damages. The chapter also delves into innovative approaches such as energy entropy, modal strain energy, and interference distribution, each offering unique advantages in detecting and localizing structural damages. Practical examples and case studies illustrate the effectiveness of these methods in real-world scenarios, providing insights into their implementation and the challenges faced. Additionally, the chapter discusses the use of structural controllers and advanced signal processing techniques like the Contourlet transform, which enhance the precision and reliability of damage detection. By comparing the strengths and weaknesses of each method, this chapter offers a comprehensive guide to selecting the most appropriate techniques for different structural health monitoring needs, ensuring the longevity and safety of vital infrastructure.

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Title
A Review of Structural Health Monitoring and Damage Detection Techniques in Frames and Bridges
Authors
Saeed Hamidi
Atefeh Soleymani
Maria Rashidi
Copyright Year
2025
Publisher
Springer Nature Singapore
DOI
https://doi.org/10.1007/978-981-97-8975-7_11
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