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Apr 4, 2017
Identifying the Extent and Location of Damage in a Reinforced Concrete Girder Using Health Monitoring Data
Authors: A. Cancelli, L. Micheli, A. Alipour, S. Laflamme, and S. SritharanAuthor Affiliations
Publication: Structures Congress 2017
Abstract
This paper aims to develop a new methodology for damage localization and estimation, through an algorithm that utilizes the ambient vibration data. More precisely, the data collected from sensors are analyzed with a subspace system identification algorithm (SSID) to retrieve frequencies and mode shapes of the structure. This information is then used to construct reduced order stiffness matrices for the system, using two different types of order reduction techniques; Guyan and SEREP. Using these matrices and the retrieved frequencies of the system, optimization functions are constructed and then analyzed with a particle swarm algorithm to locate and estimate the damage. To validate the proposed algorithm, a simply supported reinforced concrete (RC) girder was simulated. The obtained results show that the method is capable of estimating both the position and the severity of the damage in the system with a high accuracy.
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© 2017 American Society of Civil Engineers.
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Published online: Apr 4, 2017
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A. Cancelli
Dept. of Civil, Construction and Environmental Engineering, Iowa State Univ., Ames, IA 50011.
L. Micheli
Dept. of Civil, Construction and Environmental Engineering, Iowa State Univ., Ames, IA 50011.
A. Alipour
Dept. of Civil, Construction and Environmental Engineering, Iowa State Univ., Ames, IA 50011.
S. Laflamme
Dept. of Civil, Construction and Environmental Engineering, Iowa State Univ., Ames, IA 50011.
S. Sritharan
Dept. of Civil, Construction and Environmental Engineering, Iowa State Univ., Ames, IA 50011.
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