A Comparative Study of Global and Local Damage Detection Techniques Used in Structural Health Monitoring of Civil Structures

DOI

10.2991/978-94-6239-697-5_2How to use a DOI?

Keywords

Structural Health Monitoring; Global Damage Detection; Local Damage Detection

Abstract

Structural health monitoring systems, which operate as SHM systems, need to function to maintain sustainable and secure operations for civil infrastructure. The SHM damage detection systems use two different methods to identify structural damage. The first approach assesses the overall state of a structure using global approaches. The second approach looks for damage within specific materials or components using local techniques. The research examines both regional and international methods that are used to detect structural damage in civil construction projects. The research investigates eight common SHM methods, which include vibration-based, strain-based, displacement-based, acoustic emission, guided-wave and ultrasonic, smart-material-based, modal identification, and data-driven approaches. The paper provides a detailed explanation of their sensing processes, together with their damage indicators, advantage and disadvantage assessment, and practical application demonstration. The review follows a comparative study to provide reproducibility and transparent research results. The study concludes with significant research gaps and future goals, particularly regarding the emerging topic of hybrid SHM frameworks and reinforced concrete buildings. The approaches are contrasted to demonstrate their compatibility with various types of damage.

Copyright

© 2026 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Rrishabh Bhushan Harivedi
AU  - Ajay Kumar
AU  - Pankaj Kumar
AU  - Akarshan Uppal
PY  - 2026
DA  - 2026/06/04
TI  - A Comparative Study of Global and Local Damage Detection Techniques Used in Structural Health Monitoring of Civil Structures
BT  - Proceedings of the Conference on Bridging Engineering Disciplines with AI and Machine Learning (BEDAIML 2026)
PB  - Atlantis Press
SP  - 3
EP  - 11
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6239-697-5_2
DO  - 10.2991/978-94-6239-697-5_2
ID  - Harivedi2026
ER  -