Damage Detection and Model updating using Modal Information and Optimization Algorithms
Subject Areas : Analysis of Structure and EarthquakeReza Aghajani 1 , Omid Azizpour Miandoab 2 , Seyed Sina kourehli 3 , ashkan khodabandehlou 4
1 - Department of Civil Engineering, Urmia Branch, Islamic Azad University, Urmia, Iran
2 - Department of Civil Engineering, Urmia Branch, Islamic Azad University, Urmia, Iran
3 - گروه مهندسی عمران، دانشگاه شهید مدنی آذربایجان، تبریز، ایران.
4 - Department of Civil Engineering, Urmia branch, Islamic Azad University, Urmia, Iran
Keywords: Model Updating, Structural Damage Detection, Modal Analysis, Equilibrium Optimization, Grey Wolf Optimization, Whale Optimization,
Abstract :
Due to the high costs of construction and the critical importance of certain structures, the detection of structural damage has become a significant topic in civil engineering. Damage to structures can lead to changes in physical properties such as stiffness and mass. Dynamic parameters, which are dependent on the physical characteristics of the structure, can serve as suitable indicators for damage detection. In this paper, the finite element model updating method is employed for the identification and assessment of damage in structures. The finite element model updating method identifies damage by determining unknown parameters, which may include modulus of elasticity, moment of inertia, or concrete density that have altered due to damage. For this purpose, a damage-sensitive objective function based on the combination of modal strain energy and natural frequencies is proposed. To optimize this objective function, equilibrium optimization, grey wolf optimization, and whale optimization algorithms are utilized. The effectiveness of the proposed method is evaluated through two different examples, including a 6-meter two-span beam with 20 elements and a 12-story shear frame. Damage scenarios are defined as dual and quadruple for each structure. Additionally, to better simulate real conditions in structural health monitoring, the effect of noise is considered. The results obtained from all numerical examples indicate that the proposed method has a high capability for detecting the location and severity of damage.
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