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Parameter identification of Bouc-Wen model for vacuum packed particles based on genetic algorithm
This paper investigates cylindrical samples made of vacuum packed particles. Such structures are composed of granular media placed in a hermetic encapsulation where, in the final stage, a partial vacuum is generated. The main advantage of such a structure is that the underpressure value makes it possible to control the global physical properties of granular systems. Materials with various grains are analyzed in the paper. A modified Bouc-Wen hysteresis model is adopted to describe the nonlinear properties of the tested specimens. To identify the model parameters, a genetic algorithm is applied. The proposed model is found to be in good agreement with the experimental data.
Parameter identification of Bouc-Wen model for vacuum packed particles based on genetic algorithm
This paper investigates cylindrical samples made of vacuum packed particles. Such structures are composed of granular media placed in a hermetic encapsulation where, in the final stage, a partial vacuum is generated. The main advantage of such a structure is that the underpressure value makes it possible to control the global physical properties of granular systems. Materials with various grains are analyzed in the paper. A modified Bouc-Wen hysteresis model is adopted to describe the nonlinear properties of the tested specimens. To identify the model parameters, a genetic algorithm is applied. The proposed model is found to be in good agreement with the experimental data.
Parameter identification of Bouc-Wen model for vacuum packed particles based on genetic algorithm
Archiv.Civ.Mech.Eng
Bartkowski, Piotr (author) / Zalewski, Robert (author) / Chodkiewicz, Paweł (author)
Archives of Civil and Mechanical Engineering ; 19 ; 322-333
2019-06-01
12 pages
Article (Journal)
Electronic Resource
English
Parameter identification of Bouc-Wen model for vacuum packed particles based on genetic algorithm
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