Techno Press
Techno Press

Smart Structures and Systems
  Volume 18, Number 5, November 2016 , pages 839-864
DOI: https://doi.org/10.12989/sss.2016.18.5.839
 


Modified gradient methods hybridized with Tikhonov regularization for damage identification of spatial structure
S.S. Naseralavi, S. Shojaee and M. Ahmadi

 
Abstract
    This paper presents an efficient method for updating the structural finite element model. Model updating is performed through minimizing the difference between the recorded acceleration of a real damaged structure and a hypothetical damaged one. This is performed by updating physical parameters (module of elasticity in this study) in each step using iterative process of modified nonlinear conjugate gradient (M-NCG) and modified Broyden–Fletcher–Goldfarb–Shanno algorithm (M-BFGS) separately. These algorithms are based on sensitivity analysis and provide a solution for nonlinear damage detection problem. Three illustrative test examples are considered to assess the performance of the proposed method. Finally, it is demonstrated that the proposed method is satisfactory for detecting the location and ratio of structural damage in presence of noise.
 
Key Words
    damage identification; gradient methods; Tikhonov regularization; truss structure
 
Address
S.S. Naseralav: Department of Civil Engineering, Vali-e-Asr University of Rafsanjan, Rafsanjan, Iran
S. Shojaee and M. Ahmadi: Department of Civil Engineering, Shahid Bahonar University of Kerman, Kerman, Iran
 

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