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Parameter Identification of Bouc-Wen Model Using Firefly Algorithm
Bouc-Wen (BW) model is widely used in civil engineering applications, especially for assessing the nonlinear behavior of structural elements. In structural engineering, the BW model is used to explain the hysteretic behavior of systems in a simple mathematical form. This model is well-known because of its versatility in producing a variety of hysteretic characteristics of systems. The basic idea of the BW model is to match the data obtained from the experimental test or analytical solution with the model's output by using a curve fitting technique. Generally, four parameters need to be identified in the BW model. To obtain the parameters of the BW model, the optimization technique is used. One of the most suitable methods that give an excellent result to obtain the optimized variables is the firefly algorithm (FA). The theory of FA is based on firefly behavior that consists of two important variables, i.e., attractiveness and variation of the light intensity. This paper presents FA method to identify the parameters of the BW model based on the finite element analysis results. The objective function is the root mean square error (RMSE) between finite element results and the predicted model. The data used for curve fitting in this paper are force and displacement that are obtained from finite element analysis. In the present work, several types of structural elements are considered, i.e., steel dampers, castellated beams, and composite castellated beams. The results show a good agreement between the finite element results and the identified model from the optimization.
Parameter Identification of Bouc-Wen Model Using Firefly Algorithm
Bouc-Wen (BW) model is widely used in civil engineering applications, especially for assessing the nonlinear behavior of structural elements. In structural engineering, the BW model is used to explain the hysteretic behavior of systems in a simple mathematical form. This model is well-known because of its versatility in producing a variety of hysteretic characteristics of systems. The basic idea of the BW model is to match the data obtained from the experimental test or analytical solution with the model's output by using a curve fitting technique. Generally, four parameters need to be identified in the BW model. To obtain the parameters of the BW model, the optimization technique is used. One of the most suitable methods that give an excellent result to obtain the optimized variables is the firefly algorithm (FA). The theory of FA is based on firefly behavior that consists of two important variables, i.e., attractiveness and variation of the light intensity. This paper presents FA method to identify the parameters of the BW model based on the finite element analysis results. The objective function is the root mean square error (RMSE) between finite element results and the predicted model. The data used for curve fitting in this paper are force and displacement that are obtained from finite element analysis. In the present work, several types of structural elements are considered, i.e., steel dampers, castellated beams, and composite castellated beams. The results show a good agreement between the finite element results and the identified model from the optimization.
Parameter Identification of Bouc-Wen Model Using Firefly Algorithm
Lecture Notes in Civil Engineering
Belayutham, Sheila (editor) / Che Ibrahim, Che Khairil Izam (editor) / Alisibramulisi, Anizahyati (editor) / Mansor, Hazrina (editor) / Billah, Muntasir (editor) / Frans, Richard (author) / Arfiadi, Yoyong (author) / Utomo, Junaedi (author)
International Conference on Sustainable Civil Engineering Structures and Construction Materials ; 2020
2022-04-07
17 pages
Article/Chapter (Book)
Electronic Resource
English
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