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Structural Monitoring and Maintenance
  Volume 7, Number 3, September 2020 , pages 261-281
DOI: https://doi.org/10.12989/smm.2020.7.3.261
 

Assessment of sensitivity-based FE model updating technique for damage detection in large space structures
Mojtaba Razavi and Ali Hadidi

 
Abstract
    Civil structures may experience progressive deterioration and damage under environmental and operational conditions over their service life. Finite element (FE) model updating method is one of the most important approaches for damage identification in structures due to its capabilities in structural health monitoring. Although various damage detection approaches have been investigated on structures, there are limited studies on large-sized space structures. Thus, this paper aims to investigate the applicability and efficiency of sensitivity-based FE model updating framework for damage identification in large space structures from a distinct point of view. This framework facilitates modeling and model updating in large and geometric complicated space structures. Considering sensitivity-based FE model updating and vibration measurements, the discrepancy between acceleration response data in real damaged structure and hypothetical damaged structure have been minimized through adjusting the updating parameters. The feasibility and efficiency of the above-mentioned approach for damage identification has finally been demonstrated with two numerical examples: a flat double layer grid and a double layer diamatic dome. According to the results, this method can detect, localize, and quantify damages in large-scaled space structures very accurately which is robust to noisy data. Also, requiring a remarkably small number of iterations to converge, typically less than four, demonstrates the computational efficiency of this method.
 
Key Words
    model updating; damage detection; structural health monitoring; space structures; sensitivity analysis; vibration measurements
 
Address
Mojtaba Razavi and Ali Hadidi: Department of Civil Engineering, University of Tabriz, Tabriz, Iran
 

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