Structural Health Monitoring of Civil Infrastructures Using Smart Sensor Networks
Nour, Marc Abdel ; Giordano, Pier Francesco and Limongelli, Maria Pina LU
(2024)
Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2024
In Proceedings of SPIE - The International Society for Optical Engineering
12949.
- Abstract
Structural Health Monitoring (SHM) plays a vital role in maintaining the integrity of structures by providing continuous information about damage or anomalies. Vibration-based SHM, which focuses on the dynamic behavior of structures, offers insights into structural conditions through changes in dynamic properties. Among SHM approaches, damage localization is crucial for pinpointing the geometric location of damage. This paper proposes a method for damage localization using Short Time Fourier Transform and a Statistical Interpolation Damage Index. The proposed methodology is applied to a numerical case study involving a finite element beam model and to the S101 benchmark bridge, in Austria, demonstrating its efficacy in damage... (More)
Structural Health Monitoring (SHM) plays a vital role in maintaining the integrity of structures by providing continuous information about damage or anomalies. Vibration-based SHM, which focuses on the dynamic behavior of structures, offers insights into structural conditions through changes in dynamic properties. Among SHM approaches, damage localization is crucial for pinpointing the geometric location of damage. This paper proposes a method for damage localization using Short Time Fourier Transform and a Statistical Interpolation Damage Index. The proposed methodology is applied to a numerical case study involving a finite element beam model and to the S101 benchmark bridge, in Austria, demonstrating its efficacy in damage localization. The study also introduces a multi-level clustering approach to perform damage localization using smart decentralized sensor networks, able to reduce the volume of transmitted data and thereby the energy requirements. Results show promising outcomes in accurately identifying damage locations while minimizing data transmission.
(Less)
- author
- Nour, Marc Abdel
; Giordano, Pier Francesco
and Limongelli, Maria Pina
LU
- organization
- publishing date
- 2024
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- keywords
- damage localization, decentralized sensor network, distributed computing, interpolation error, structural health monitoring
- host publication
- Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2024
- series title
- Proceedings of SPIE - The International Society for Optical Engineering
- editor
- Glisic, Branko ; Limongelli, Maria Pina and Ng, Ching Tai
- volume
- 12949
- article number
- 129490K
- publisher
- SPIE
- conference name
- Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2024
- conference location
- Long Beach, United States
- conference dates
- 2024-03-25 - 2024-03-28
- external identifiers
-
- scopus:85195383457
- ISSN
- 1996-756X
- 0277-786X
- ISBN
- 9781510672048
- DOI
- 10.1117/12.3010385
- language
- English
- LU publication?
- yes
- id
- 6c9672f2-0844-427a-8a08-6dd72c7e7adf
- date added to LUP
- 2024-09-16 14:01:14
- date last changed
- 2025-07-08 17:22:14
@inproceedings{6c9672f2-0844-427a-8a08-6dd72c7e7adf,
abstract = {{<p>Structural Health Monitoring (SHM) plays a vital role in maintaining the integrity of structures by providing continuous information about damage or anomalies. Vibration-based SHM, which focuses on the dynamic behavior of structures, offers insights into structural conditions through changes in dynamic properties. Among SHM approaches, damage localization is crucial for pinpointing the geometric location of damage. This paper proposes a method for damage localization using Short Time Fourier Transform and a Statistical Interpolation Damage Index. The proposed methodology is applied to a numerical case study involving a finite element beam model and to the S101 benchmark bridge, in Austria, demonstrating its efficacy in damage localization. The study also introduces a multi-level clustering approach to perform damage localization using smart decentralized sensor networks, able to reduce the volume of transmitted data and thereby the energy requirements. Results show promising outcomes in accurately identifying damage locations while minimizing data transmission.</p>}},
author = {{Nour, Marc Abdel and Giordano, Pier Francesco and Limongelli, Maria Pina}},
booktitle = {{Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2024}},
editor = {{Glisic, Branko and Limongelli, Maria Pina and Ng, Ching Tai}},
isbn = {{9781510672048}},
issn = {{1996-756X}},
keywords = {{damage localization; decentralized sensor network; distributed computing; interpolation error; structural health monitoring}},
language = {{eng}},
publisher = {{SPIE}},
series = {{Proceedings of SPIE - The International Society for Optical Engineering}},
title = {{Structural Health Monitoring of Civil Infrastructures Using Smart Sensor Networks}},
url = {{http://dx.doi.org/10.1117/12.3010385}},
doi = {{10.1117/12.3010385}},
volume = {{12949}},
year = {{2024}},
}