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https://doi.org/10.17559/TV-20160411065936

Damage Detection for Civil Structural Health Monitoring Application - A Case Study of the Steel Grid Bridge Structural Model

Zoran Mišković ; Structural Engineering Department, Faculty of Civil Engineering, University of Belgrade, Bulevar kralja Aleksandra 73, 11000 Belgrade, Republic of Serbia
Saad Al-Wazni   ORCID icon orcid.org/0000-0002-7863-8544 ; Department of Civil Engineering, Faculty of Engineering, University of Kufa, Iraq - PhD student at the Structural Engineering Department of the Faculty of Civil Engineering, University of Belgrade
Ahmed Alalikhan   ORCID icon orcid.org/0000-0001-5752-7362 ; Department of Civil Engineering, Faculty of Engineering, University of Kufa, Iraq - PhD student at the Structural Engineering Department of the Faculty of Civil Engineering, University of Belgrade

Puni tekst: engleski, pdf (2 MB) str. 266-275 preuzimanja: 185* citiraj
APA 6th Edition
Mišković, Z., Al-Wazni, S. i Alalikhan, A. (2018). Damage Detection for Civil Structural Health Monitoring Application - A Case Study of the Steel Grid Bridge Structural Model. Tehnički vjesnik, 25 (Supplement 2), 266-275. https://doi.org/10.17559/TV-20160411065936
MLA 8th Edition
Mišković, Zoran, et al. "Damage Detection for Civil Structural Health Monitoring Application - A Case Study of the Steel Grid Bridge Structural Model." Tehnički vjesnik, vol. 25, br. Supplement 2, 2018, str. 266-275. https://doi.org/10.17559/TV-20160411065936. Citirano 21.11.2019.
Chicago 17th Edition
Mišković, Zoran, Saad Al-Wazni i Ahmed Alalikhan. "Damage Detection for Civil Structural Health Monitoring Application - A Case Study of the Steel Grid Bridge Structural Model." Tehnički vjesnik 25, br. Supplement 2 (2018): 266-275. https://doi.org/10.17559/TV-20160411065936
Harvard
Mišković, Z., Al-Wazni, S., i Alalikhan, A. (2018). 'Damage Detection for Civil Structural Health Monitoring Application - A Case Study of the Steel Grid Bridge Structural Model', Tehnički vjesnik, 25(Supplement 2), str. 266-275. https://doi.org/10.17559/TV-20160411065936
Vancouver
Mišković Z, Al-Wazni S, Alalikhan A. Damage Detection for Civil Structural Health Monitoring Application - A Case Study of the Steel Grid Bridge Structural Model. Tehnički vjesnik [Internet]. 2018 [pristupljeno 21.11.2019.];25(Supplement 2):266-275. https://doi.org/10.17559/TV-20160411065936
IEEE
Z. Mišković, S. Al-Wazni i A. Alalikhan, "Damage Detection for Civil Structural Health Monitoring Application - A Case Study of the Steel Grid Bridge Structural Model", Tehnički vjesnik, vol.25, br. Supplement 2, str. 266-275, 2018. [Online]. https://doi.org/10.17559/TV-20160411065936

Sažetak
The procedure for detecting the location and severity of damage of complex structural systems using their modal properties is an important tool of Structural Health Monitoring (SHM) of civil infrastructure. The herein presented research proposes procedures for damage detection based on two heuristic optimization methods: Simulated Annealing (SA) and Tabu Search (TS). In order to test the proposed procedures in different frequency ranges, experimental and numerical analyses were conducted on a steel grid bridge model in two configurations, according to the total mass of the structure, as well as for two simulated damage cases. The calibration of model parameters, according to experimentally extracted modal properties, is carried out using the proposed procedures. Numerical computations were conducted using ANSYS package and developed routines under MATLAB environment for model calibration and damage detection procedures. Experimental modal properties were extracted from ambient vibration measurements, as state-of- the art in SHM of complex structures, by the Frequency Domain Decomposition (FDD) technique, using ARTeMIS software. Both of the proposed procedures for model calibration and damage detection, with adopted objective functions including frequency and mode shape differences, exhibit accuracy, efficiency and robustness.

Ključne riječi
ambient vibrations; modal properties; model calibration; optimization methods; structural health monitoring

Hrčak ID: 205919

URI
https://hrcak.srce.hr/205919

Posjeta: 396 *