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Automated model updating of multiple cracked cantilever beams for damage detection
AbstractThis paper presents a detailed study on the automated model updating of a cantilever beam with box cross-section including multiple cracks for damage detection. To consider multiple crack effects, a cantilever beam with cracks is considered under six damage scenarios. Finite element models are first constituted in ANSYS software for numerical solution. The results are validated by experimental measurements. For this aim, ambient vibration tests are performed to extract the dynamic characteristics using Enhanced Frequency Domain Decomposition (EFDD) and Stochastic Subspace Identification (SSI) methods. Calculated and measured natural frequencies and corresponding mode shapes for undamaged and damaged beams are compared. For damage detection, automated Model Update is carried out using the modal sensitivity method based on the Bayesian parameter estimation to minimize the difference between the calculated and measured results. Modal Assurance Criterion (MAC) and Coordinate Modal Assurance Criterion (COMAC) factors that show the correlation between the measured and calculated mode shapes are also employed to identify and locate damaged elements within the beam.
HighlightsInvestigation on box sectional steel cantilever beam with multiple cracks is presented.Ambient vibration tests are conducted to extract the dynamic characteristics.Damage identification is studied for undamaged and damaged conditions.Model updating procedure is considered for damage detection.
Automated model updating of multiple cracked cantilever beams for damage detection
AbstractThis paper presents a detailed study on the automated model updating of a cantilever beam with box cross-section including multiple cracks for damage detection. To consider multiple crack effects, a cantilever beam with cracks is considered under six damage scenarios. Finite element models are first constituted in ANSYS software for numerical solution. The results are validated by experimental measurements. For this aim, ambient vibration tests are performed to extract the dynamic characteristics using Enhanced Frequency Domain Decomposition (EFDD) and Stochastic Subspace Identification (SSI) methods. Calculated and measured natural frequencies and corresponding mode shapes for undamaged and damaged beams are compared. For damage detection, automated Model Update is carried out using the modal sensitivity method based on the Bayesian parameter estimation to minimize the difference between the calculated and measured results. Modal Assurance Criterion (MAC) and Coordinate Modal Assurance Criterion (COMAC) factors that show the correlation between the measured and calculated mode shapes are also employed to identify and locate damaged elements within the beam.
HighlightsInvestigation on box sectional steel cantilever beam with multiple cracks is presented.Ambient vibration tests are conducted to extract the dynamic characteristics.Damage identification is studied for undamaged and damaged conditions.Model updating procedure is considered for damage detection.
Automated model updating of multiple cracked cantilever beams for damage detection
Altunışık, Ahmet Can (Autor:in) / Okur, Fatih Yesevi (Autor:in) / Kahya, Volkan (Autor:in)
Journal of Constructional Steel Research ; 138 ; 499-512
07.08.2017
14 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
Automated model updating of multiple cracked cantilever beams for damage detection
British Library Online Contents | 2017
|Automated model updating of multiple cracked cantilever beams for damage detection
British Library Online Contents | 2017
|Automated model updating of multiple cracked cantilever beams for damage detection
British Library Online Contents | 2017
|Automated model updating of multiple cracked cantilever beams for damage detection
British Library Online Contents | 2017
|Automated model updating of multiple cracked cantilever beams for damage detection
Online Contents | 2017
|