M-DLAC Extension for Damage Detection on Real-World Structures

Abstract Purpose The analysis of structural integrity and damage identification based on variations in modal parameters is critical in structural health monitoring (SHM) due to its non-destructive and continuous monitoring capabilities. This study aims to demonstrate the effectiveness of the Multiple-Damage Location Assurance Criterion (M-DLAC) as an SHM technique that relies solely on variations in natural frequencies caused by structural alterations to perform integrity assessments. Method Using real-world data from a newly available open-source database, this study applied the M-DLAC technique to a real-world structure, marking the first time it has been tested outside of theoretical or laboratory conditions. The structure, a 9-m-high lattice tower, is equipped with reversible damage mechanisms that simulate damage by dismantling connections between beams. The data set includes one year of acceleration recordings under natural excitations. Results The results demonstrate that the M-DLAC method can reliably identify the damaged area within the structure, pinpointing with reasonable approximation the specific removed elements that represent structural alterations. These findings validate the M-DLAC method practical effectiveness. Conclusion This study provides novel insights into M-DLAC performance on real-world structures and highlights the need for specific adaptations when applying theoretical methods in practical scenarios. The findings serve as both a conclusion and a basis for further refinement and development of the M-DLAC technique in SHM applications.

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Publication Details

Journal
Journal of Vibration Engineering & Technologies
Published
2025-04-01
DOI
https://doi.org/10.1007/s42417-025-01802-z
Primary Topic
Structural Health Monitoring Techniques
Type
article
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article

M-DLAC Extension for Damage Detection on Real-World Structures

Arcangelo Messina, Nicola Ivan Giannoccaro, Andrea Vincenzo De Nunzio, Giada Faraco
Journal of Vibration Engineering & Technologies
Structural Health Monitoring Techniques
article

M-DLAC Extension for Damage Detection on Real-World Structures

Arcangelo Messina, Nicola Ivan Giannoccaro, Andrea Vincenzo De Nunzio, Giada Faraco
article en

Abstract

Abstract Purpose The analysis of structural integrity and damage identification based on variations in modal parameters is critical in structural health monitoring (SHM) due to its non-destructive and continuous monitoring capabilities. This study aims to demonstrate the effectiveness of the Multiple-Damage Location Assurance Criterion (M-DLAC) as an SHM technique that relies solely on variations in natural frequencies caused by structural alterations to perform integrity assessments. Method Using real-world data from a newly available open-source database, this study applied the M-DLAC technique to a real-world structure, marking the first time it has been tested outside of theoretical or laboratory conditions. The structure, a 9-m-high lattice tower, is equipped with reversible damage mechanisms that simulate damage by dismantling connections between beams. The data set includes one year of acceleration recordings under natural excitations. Results The results demonstrate that the M-DLAC method can reliably identify the damaged area within the structure, pinpointing with reasonable approximation the specific removed elements that represent structural alterations. These findings validate the M-DLAC method practical effectiveness. Conclusion This study provides novel insights into M-DLAC performance on real-world structures and highlights the need for specific adaptations when applying theoretical methods in practical scenarios. The findings serve as both a conclusion and a basis for further refinement and development of the M-DLAC technique in SHM applications.

Journal of Vibration Engineering & TechnologiesVol. 13(4)
University of Salento (IT)
Openalex Percentile: Top 93%
Structural Health Monitoring Techniques
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M-DLAC Extension for Damage Detection on Real-World Structures — Arcangelo Messina, Nicola Ivan Giannoccaro, et al. · Journal of Vibration Engineering & Technologies (2025) | TGRS Research Map | TGRS