Optimization an Off-Road Vehicle Seat Suspension by Metaheuristic Method

Abstract

Passenger seat is main part of vehicle which has direct effect on transmitted vibration to the body. Seat suspension can remove unwanted and harmful vibration if right parameters were selected. Each human body organs has specific natural frequency. When vehicle vibration reaches to this frequency range, resonance will occur, and this phenomenon is harmful in long term. Usually lumped models were used to predict human body response to vibration. In this paper, via Qassem biodynamic model, the relative displacement of lumbar spine seat to spine vibration transmissibility was minimized by artificial neural network method. By this technique, optimal spring constant and damping coefficient were found and verified.