基于元启发式方法的越野车座椅悬架优化

M. Gohari, Mona Tahmasebi
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引用次数: 0

摘要

乘客座椅是汽车的主要部件,它直接影响到振动向车身的传递。如果选择合适的参数,座椅悬架可以消除不必要的有害振动。每个人体器官都有特定的固有频率。当车辆振动达到该频率范围时,就会发生共振,这种现象长期存在是有害的。通常采用集总模型来预测人体对振动的反应。本文通过Qassem生物动力学模型,采用人工神经网络方法最小化腰椎座椅相对位移对脊柱振动传递率的影响。通过该方法,找到了最优的弹簧常数和阻尼系数,并进行了验证。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimization an Off-Road Vehicle Seat Suspension by Metaheuristic Method
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.
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