Frequency Dependent Spencer Modeling of Magnetorheological Damper Using Hybrid Optimization Approach

Magnetorheological dampers have been widely used in civil and automotive industries. The nonlinear behavior of MR fluid makes MR damper modeling a challenging problem. In this paper, a frequency dependent MR damper model is proposed based on Spencer MR damper model. The parameters of the model are i...

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Main Authors: Ali Fellah Jahromi, Rama B. Bhat, Wen-Fang Xie
Format: Article
Language:English
Published: Wiley 2015-01-01
Series:Shock and Vibration
Online Access:http://dx.doi.org/10.1155/2015/382541
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author Ali Fellah Jahromi
Rama B. Bhat
Wen-Fang Xie
author_facet Ali Fellah Jahromi
Rama B. Bhat
Wen-Fang Xie
author_sort Ali Fellah Jahromi
collection DOAJ
description Magnetorheological dampers have been widely used in civil and automotive industries. The nonlinear behavior of MR fluid makes MR damper modeling a challenging problem. In this paper, a frequency dependent MR damper model is proposed based on Spencer MR damper model. The parameters of the model are identified using an experimental data based hybrid optimization approach which is a combination of Genetic Algorithm and Sequential Quadratic Programming approach. The frequency in the proposed model is calculated using measured relative velocity and relative displacement between MR damper ends. Therefore, the MR damper model will be function of frequency. The mathematical model is validated using the experimental results which confirm the improvement in the accuracy of the model and consistency in the variation damping with the frequency.
format Article
id doaj-art-709f7ccbe4c348988781069a647eba7c
institution Kabale University
issn 1070-9622
1875-9203
language English
publishDate 2015-01-01
publisher Wiley
record_format Article
series Shock and Vibration
spelling doaj-art-709f7ccbe4c348988781069a647eba7c2025-08-20T03:34:01ZengWileyShock and Vibration1070-96221875-92032015-01-01201510.1155/2015/382541382541Frequency Dependent Spencer Modeling of Magnetorheological Damper Using Hybrid Optimization ApproachAli Fellah Jahromi0Rama B. Bhat1Wen-Fang Xie2Department of Mechanical and Industrial Engineering, Concordia University, Montreal, QC, H3G 1M8, CanadaDepartment of Mechanical and Industrial Engineering, Concordia University, Montreal, QC, H3G 1M8, CanadaDepartment of Mechanical and Industrial Engineering, Concordia University, Montreal, QC, H3G 1M8, CanadaMagnetorheological dampers have been widely used in civil and automotive industries. The nonlinear behavior of MR fluid makes MR damper modeling a challenging problem. In this paper, a frequency dependent MR damper model is proposed based on Spencer MR damper model. The parameters of the model are identified using an experimental data based hybrid optimization approach which is a combination of Genetic Algorithm and Sequential Quadratic Programming approach. The frequency in the proposed model is calculated using measured relative velocity and relative displacement between MR damper ends. Therefore, the MR damper model will be function of frequency. The mathematical model is validated using the experimental results which confirm the improvement in the accuracy of the model and consistency in the variation damping with the frequency.http://dx.doi.org/10.1155/2015/382541
spellingShingle Ali Fellah Jahromi
Rama B. Bhat
Wen-Fang Xie
Frequency Dependent Spencer Modeling of Magnetorheological Damper Using Hybrid Optimization Approach
Shock and Vibration
title Frequency Dependent Spencer Modeling of Magnetorheological Damper Using Hybrid Optimization Approach
title_full Frequency Dependent Spencer Modeling of Magnetorheological Damper Using Hybrid Optimization Approach
title_fullStr Frequency Dependent Spencer Modeling of Magnetorheological Damper Using Hybrid Optimization Approach
title_full_unstemmed Frequency Dependent Spencer Modeling of Magnetorheological Damper Using Hybrid Optimization Approach
title_short Frequency Dependent Spencer Modeling of Magnetorheological Damper Using Hybrid Optimization Approach
title_sort frequency dependent spencer modeling of magnetorheological damper using hybrid optimization approach
url http://dx.doi.org/10.1155/2015/382541
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AT ramabbhat frequencydependentspencermodelingofmagnetorheologicaldamperusinghybridoptimizationapproach
AT wenfangxie frequencydependentspencermodelingofmagnetorheologicaldamperusinghybridoptimizationapproach