Vibration-based damage detection in UHPFC beams by using dynamic properties of the structure. Sokhangou, F., Sorelli, L., Chouinard, L., Conciatori, D., & Dey, P. In volume 2022-August, pages 104 - 107, Montreal, QC, Canada, 2022. abstract bibtex Monitoring the damage evolution of existing concrete structures is critical for efficiently planning infrastructure maintenance and for selecting the optimal time for repairing or strengthening. The approach for detecting and locating damage in concrete structures depends on the measured vibration response of the structure and the type of sensors used for measurements. This paper proposes a damage identification approach for Ultra-High-Performance Fiber Reinforced Concrete (UHPFRC) beams based on the estimated modal properties of the beam from vibration measurements. First, the effect of different levels of damage on the dynamic response of the beam is investigated numerically in the finite element software ABAQUS. Dynamic impact tests have been performed on several beams specimens with increasing levels of damage and vibration responses have been measured on several locations of the specimens through accelerometers. Automated operational modal analysis is applied to the data to obtain the modal frequencies and mode shapes, which are then analyzed to validate the proposed damage detection algorithms. The results indicate that the detection and localization of defects can be achieved in the presence of measurement noise. Further analyses need to be performed to determine the probability of detection as a function of the level of damage, damage location, and the number of defects.
© 2022 International Conference on Structural Health Monitoring of Intelligent Infrastructure: Transferring Research into Practice, SHMII. All rights reserved.
@inproceedings{20243917119325 ,
language = {English},
copyright = {Compilation and indexing terms, Copyright 2025 Elsevier Inc.},
copyright = {Compendex},
title = {Vibration-based damage detection in UHPFC beams by using dynamic properties of the structure},
journal = {International Conference on Structural Health Monitoring of Intelligent Infrastructure: Transferring Research into Practice, SHMII},
author = {Sokhangou, Fahime and Sorelli, Luca and Chouinard, Luc and Conciatori, David and Dey, Pampa},
volume = {2022-August},
year = {2022},
pages = {104 - 107},
issn = {25643738},
address = {Montreal, QC, Canada},
abstract = {<div data-language="eng" data-ev-field="abstract">Monitoring the damage evolution of existing concrete structures is critical for efficiently planning infrastructure maintenance and for selecting the optimal time for repairing or strengthening. The approach for detecting and locating damage in concrete structures depends on the measured vibration response of the structure and the type of sensors used for measurements. This paper proposes a damage identification approach for Ultra-High-Performance Fiber Reinforced Concrete (UHPFRC) beams based on the estimated modal properties of the beam from vibration measurements. First, the effect of different levels of damage on the dynamic response of the beam is investigated numerically in the finite element software ABAQUS. Dynamic impact tests have been performed on several beams specimens with increasing levels of damage and vibration responses have been measured on several locations of the specimens through accelerometers. Automated operational modal analysis is applied to the data to obtain the modal frequencies and mode shapes, which are then analyzed to validate the proposed damage detection algorithms. The results indicate that the detection and localization of defects can be achieved in the presence of measurement noise. Further analyses need to be performed to determine the probability of detection as a function of the level of damage, damage location, and the number of defects.<br/></div> © 2022 International Conference on Structural Health Monitoring of Intelligent Infrastructure: Transferring Research into Practice, SHMII. All rights reserved.},
key = {ABAQUS},
%keywords = {Concrete beams and girders;Concrete buildings;Fiber reinforced concrete;High modulus textile fibers;Pressure vessels;Ultra-high performance concrete;},
%note = {Concrete beam;Damage evolution;Dynamics properties;Health monitoring;Infrastructure maintenance;Inverse analysis;Optimal time;Structural health;Vibration response;Vibration-based damage detection;},
}
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The results indicate that the detection and localization of defects can be achieved in the presence of measurement noise. Further analyses need to be performed to determine the probability of detection as a function of the level of damage, damage location, and the number of defects.<br/></div> © 2022 International Conference on Structural Health Monitoring of Intelligent Infrastructure: Transferring Research into Practice, SHMII. All rights reserved.","key":"20243917119325","bibtex":"@inproceedings{20243917119325 ,\nlanguage = {English},\ncopyright = {Compilation and indexing terms, Copyright 2025 Elsevier Inc.},\ncopyright = {Compendex},\ntitle = {Vibration-based damage detection in UHPFC beams by using dynamic properties of the structure},\njournal = {International Conference on Structural Health Monitoring of Intelligent Infrastructure: Transferring Research into Practice, SHMII},\nauthor = {Sokhangou, Fahime and Sorelli, Luca and Chouinard, Luc and Conciatori, David and Dey, Pampa},\nvolume = {2022-August},\nyear = {2022},\npages = {104 - 107},\nissn = {25643738},\naddress = {Montreal, QC, Canada},\nabstract = {<div data-language=\"eng\" data-ev-field=\"abstract\">Monitoring the damage evolution of existing concrete structures is critical for efficiently planning infrastructure maintenance and for selecting the optimal time for repairing or strengthening. 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The results indicate that the detection and localization of defects can be achieved in the presence of measurement noise. Further analyses need to be performed to determine the probability of detection as a function of the level of damage, damage location, and the number of defects.<br/></div> © 2022 International Conference on Structural Health Monitoring of Intelligent Infrastructure: Transferring Research into Practice, SHMII. 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