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Damage Identification in Cement-Based Structures: A Method Based on Modal Curvatures and Continuous Wavelet Transform

Authors :
Gloria Cosoli
Milena Martarelli
Alessandra Mobili
Francesca Tittarelli
Gian Marco Revel
Source :
Sensors, Vol 23, Iss 22, p 9292 (2023)
Publication Year :
2023
Publisher :
MDPI AG, 2023.

Abstract

Modal analysis is an effective tool in the context of Structural Health Monitoring (SHM) since the dynamic characteristics of cement-based structures reflect the structural health status of the material itself. The authors consider increasing level load tests on concrete beams and propose a methodology for damage identification relying on the computation of modal curvatures combined with continuous wavelet transform (CWT) to highlight damage-related changes. Unlike most literature studies, in the present work, no numerical models of the undamaged structure were exploited. Moreover, the authors defined synthetic damage indices depicting the status of a structure. The results show that the I mode shape is the most sensitive to damages; indeed, considering this mode, damages cause a decrease of natural vibration frequency (up to approximately −67%), an increase of loss factor (up to approximately fivefold), and changes in the mode shapes morphology (a cuspid appears). The proposed damage indices are promising, even if the level of damage is not clearly distinguishable, probably because tests were performed after the load removal. Further investigations are needed to scale the methodology to in-field applications.

Details

Language :
English
ISSN :
23229292 and 14248220
Volume :
23
Issue :
22
Database :
Directory of Open Access Journals
Journal :
Sensors
Publication Type :
Academic Journal
Accession number :
edsdoj.fad931a8e03840b49d665f3d8e1d0254
Document Type :
article
Full Text :
https://doi.org/10.3390/s23229292