A Comparative Study on the Application of Metaheuristic Optimization Algorithms For Identification Of Bouc-Wen Hysteresis Model, M.Sc. Thesis Sharif University of Technology ; Rahimzadeh Rofooei, Fayyaz (Supervisor) ; Mahdavi, Hossein (Co-Supervisor)
Abstract
In general, modeling errors cause incompatibility between experimental results and the numerical finite element model. To address this issue, the finite element model is being updated to identify the actual dynamic properties of the structure, to evaluate and estimate possible defects of structure, and finally to adapt the behavior of the numerical model and the real structure. As an optimization problem, unknown parameters of the identification model and parameters with uncertainty are being modified. Definition of an appropriate objective function, specifying up-to-date parameters and determining an efficient optimization method are the three main steps of a model-updating problem. On the...
Cataloging briefA Comparative Study on the Application of Metaheuristic Optimization Algorithms For Identification Of Bouc-Wen Hysteresis Model, M.Sc. Thesis Sharif University of Technology ; Rahimzadeh Rofooei, Fayyaz (Supervisor) ; Mahdavi, Hossein (Co-Supervisor)
Abstract
In general, modeling errors cause incompatibility between experimental results and the numerical finite element model. To address this issue, the finite element model is being updated to identify the actual dynamic properties of the structure, to evaluate and estimate possible defects of structure, and finally to adapt the behavior of the numerical model and the real structure. As an optimization problem, unknown parameters of the identification model and parameters with uncertainty are being modified. Definition of an appropriate objective function, specifying up-to-date parameters and determining an efficient optimization method are the three main steps of a model-updating problem. On the...
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