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Vibration Isolation of a GA Optimized Biomechanical Model of a Railway Passenger Using Magneto Rheological Damper Seat Suspension


Affiliations
1 School of Automotive Engineering, Iran University of Science and Technology, Farjam St, Tehran 16846-13114, Iran, Islamic Republic of
     

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Driver tiredness during long term travel might result in many unwilling accidents. Hence, isolating the vibration transmitted to the driver plays a major role in keeping the driver restful and consequently having a safe trip. In this study, the transmitted vibration of a wagon suspension to a passenger model is isolated by a semi active control strategy using a magneto rheological (MR) damper. First, a revised linear lumped parameter biomechanical model of seated human body exposed to vertical vibrations is optimized. To this end, the parameters of the human body model, including mass, damper and stiffness coefficients are simultaneously optimized using genetic algorithm by employing a multi-objective function. Next, the optimized human body model is integrated on a nonlinear seat suspension model. This integrated model is excited by a sinusoidal frequency range as applicable to railway vehicles. The responses in time and frequency domains are derived. Finally, by using a MR damper instead of conventional dampers in the seat suspension, it is shown that the transmitted acceleration from the rail to the driver is reduced. Finally, a comparison of the performances of passive conventional dampers, semi-active MR dampers and active actuator assisted dampers is presented in detail.

Keywords

Human Model, Magneto Rheological Damper, Genetic Algorithm, Semi Active Control, Railway Vehicle.
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  • Vibration Isolation of a GA Optimized Biomechanical Model of a Railway Passenger Using Magneto Rheological Damper Seat Suspension

Abstract Views: 268  |  PDF Views: 3

Authors

Javad Marzbanrad
School of Automotive Engineering, Iran University of Science and Technology, Farjam St, Tehran 16846-13114, Iran, Islamic Republic of
Yousef Amiri Rad
School of Automotive Engineering, Iran University of Science and Technology, Farjam St, Tehran 16846-13114, Iran, Islamic Republic of
Amir Afkar
School of Automotive Engineering, Iran University of Science and Technology, Farjam St, Tehran 16846-13114, Iran, Islamic Republic of

Abstract


Driver tiredness during long term travel might result in many unwilling accidents. Hence, isolating the vibration transmitted to the driver plays a major role in keeping the driver restful and consequently having a safe trip. In this study, the transmitted vibration of a wagon suspension to a passenger model is isolated by a semi active control strategy using a magneto rheological (MR) damper. First, a revised linear lumped parameter biomechanical model of seated human body exposed to vertical vibrations is optimized. To this end, the parameters of the human body model, including mass, damper and stiffness coefficients are simultaneously optimized using genetic algorithm by employing a multi-objective function. Next, the optimized human body model is integrated on a nonlinear seat suspension model. This integrated model is excited by a sinusoidal frequency range as applicable to railway vehicles. The responses in time and frequency domains are derived. Finally, by using a MR damper instead of conventional dampers in the seat suspension, it is shown that the transmitted acceleration from the rail to the driver is reduced. Finally, a comparison of the performances of passive conventional dampers, semi-active MR dampers and active actuator assisted dampers is presented in detail.

Keywords


Human Model, Magneto Rheological Damper, Genetic Algorithm, Semi Active Control, Railway Vehicle.



DOI: https://doi.org/10.4273/ijvss.2.1.01