Numerical Study Dedicated to the Optimization of Parameters for Passive Integrated Health Monitoring of Plaques

The development of integrated health monitoring methods, commonly referred to as Structural Health Monitoring (SHM), has become a major trend in recent years. These methods enable autonomous and continuous inspection of structures during service. As part of a predictive maintenance framework, SHM allows for the early detection of potential failures, thereby reducing the need for periodic manual inspections. In this context, ambient noise naturally present in a structure can be leveraged to develop passive SHM systems. Specifically, our study utilizes the ambient noise correlation technique. The fundamental principle involves using sensors to detect vibrations generated by ambient noise and calculating the cross-correlation function. This function provides critical data regarding the structural integrity of the system. We propose a numerical study to optimize the number of sensors required for plate monitoring and to determine their optimal spatial distribution.

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Publication Details

Journal
e-Journal of Nondestructive Testing
Published
2026-11-01
DOI
https://doi.org/10.58286/35070
Primary Topic
Structural Health Monitoring Techniques
Type
article
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article

Numerical Study Dedicated to the Optimization of Parameters for Passive Integrated Health Monitoring of Plaques

Sonia Djili, Abderrahmane Djili, Université Paris Cité, Bachene Karim
e-Journal of Nondestructive Testing
Structural Health Monitoring Techniques
article

Numerical Study Dedicated to the Optimization of Parameters for Passive Integrated Health Monitoring of Plaques

Sonia Djili, Abderrahmane Djili, Université Paris Cité, Bachene Karim
article en

Abstract

The development of integrated health monitoring methods, commonly referred to as Structural Health Monitoring (SHM), has become a major trend in recent years. These methods enable autonomous and continuous inspection of structures during service. As part of a predictive maintenance framework, SHM allows for the early detection of potential failures, thereby reducing the need for periodic manual inspections. In this context, ambient noise naturally present in a structure can be leveraged to develop passive SHM systems. Specifically, our study utilizes the ambient noise correlation technique. The fundamental principle involves using sensors to detect vibrations generated by ambient noise and calculating the cross-correlation function. This function provides critical data regarding the structural integrity of the system. We propose a numerical study to optimize the number of sensors required for plate monitoring and to determine their optimal spatial distribution.

e-Journal of Nondestructive TestingVol. 31(11)
University of Sciences and Technology Houari Boumediene (DZ), Ecole Nationale Supérieure des Technologies Avancées (DZ)
Openalex Percentile: Top 19%
Structural Health Monitoring Techniques
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