Damage Detection and Structural Health Monitoring of Concrete and Masonry Structures Novel Techniques and Applications /

This book offers the use of artificial intelligence, image processing, model analysis, laser scanners, shearography, drones, contourlet, wavelet, signal processing techniques and other SHM techniques to detect the damages in the concrete as well as masonry structures. Corrosion is one major factor t...

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Furkejuvvon:
Bibliográfalaš dieđut
Searvvušdahkki: SpringerLink (Online service)
Eará dahkkit: Jahangir, Hashem (Doaimmaheaddji), Arora, Harish Chandra (Doaimmaheaddji), Dos Santos, José Viriato Araújo (Doaimmaheaddji), Kumar, Krishna (Doaimmaheaddji), Kumar, Aman (Doaimmaheaddji), Kapoor, Nishant Raj (Doaimmaheaddji)
Materiálatiipa: Elektrovnnalaš E-girji
Giella:eaŋgalasgiella
Almmustuhtton: Singapore : Springer Nature Singapore : Imprint: Springer, 2025.
Preanttus:1st ed. 2025.
Ráidu:Springer Tracts in Civil Engineering,
Fáttát:
Liŋkkat:https://doi.org/10.1007/978-981-97-8975-7
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Sisdoallologahallan:
  • Chapter 1 Introduction to Damage Detection and Structural Health Monitoring
  • Chapter 2 Damage Detection of Reinforced Concrete Structures
  • Chapter 3 Masonry structure's Damage Detection
  • Chapter 4 Conventional Methods of Damage Detection
  • Chapter 5 Natural Frequencies and Frequency Response Functions
  • Chapter 6 Acoustic Emission Tests
  • Chapter 7 Model Analysis Based Techniques
  • Chapter 8 Laser Scanners Database Analysis
  • Chapter 9 Unmanned Aerial Vehicle for Damage
  • Chapter 10 Shearography Tests
  • Chapter 11 Role of Artificial Intelligence in Damage Detection
  • Chapter 12 Signal ProcessingMethods
  • Chapter 13 Image Processing Techniques
  • Chapter 14 Role of Smart Materials in Damage Detection
  • Chapter 15 Internet of Things (IoT) for Structural Health Monitoring.