G. Ghodrati Amiri, A. Zare Hosseinzadeh, S. A. Seyed Razzaghi,
Volume 5, Issue 4 (7-2015)
Abstract
This paper presents a new model updating approach for structural damage localization and quantification. Based on the Modal Assurance Criterion (MAC), a new damage-sensitive cost function is introduced by employing the main diagonal and anti-diagonal members of the calculated Generalized Flexibility Matrix (GFM) for the monitored structure and its analytical model. Then, the cost function is solved by Democratic Particle Swarm Optimization (DPSO) algorithm to achieve the optimal solution of the problem lead to damage identification. DPSO is a modified version of standard PSO algorithm which is developed for presenting a fast speed evolutionary optimization strategy. The applicability of the method is demonstrated by studying three numerical examples which consists of a ten-story shear frame, a plane steel truss and a plane steel frame. Several challenges such as the efficiency of the DPSO algorithm in comparison with other evolutionary optimization approaches for solving the inverse problem, impacts of random noise in input data on the reliability of the presented method, and effects of the number of available modal data for damage identification, are studied. The obtained results reveal good, robust and stable performance of the presented method for structural damage identification using only the first several modes’ data.
M. A. Shayanfar, A. Kaveh, O. Eghlidos , B. Mirzaei,
Volume 6, Issue 2 (6-2016)
Abstract
In this paper, a method is presented for damage detection of bridges using the Enhanced Colliding Bodies Optimization (ECBO) utilizing time-domain responses. The finite element modeling of the structure is based on the equation of motion under the moving load, and the flexural stiffness of the structure is determined by the acceleration responses obtained via sensors placed in different places. Damage detection problem presented in this research is an inverse problem, which is optimized by the ECBO algorithm, and the damages in the structures are fully detected. Furthermore, for simulating the real situation, the effect of measured noises is considered on the structure, to obtain more accurate results.
