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Prediction of the driver’s head acceleration and vibration isolation performance of the seating suspension system using the time and frequency domain modeling
Applied Acoustics ( IF 3.4 ) Pub Date : 2021-07-28 , DOI: 10.1016/j.apacoust.2021.108308
Yuli Zhao 1 , Fengrong Bi 2 , Hongli Shu 3 , Linchuan Guo 1 , Xu Wang 1
Affiliation  

Long-time exposure to low-frequency vibration will negatively impact human health.

A rapid biodynamic system modeling method has been proposed to study the human body’s response to the low-frequency vibration excitation in the whole vehicle environment. The sensitivity of design parameters of the seating suspension system to the vibration isolation performance will be studied. The dynamic model consists of a lumped parameter mass-spring-dashpot model of seven degrees of freedom (7DOF) and used for the prediction of the head acceleration in the time domain and peak transmissibility ratio in the frequency domain under a sinusoidal wave excitation and random road profile excitations of different road classes and vehicle speeds. A calculation formula has been established to predict the seat effective amplitude transmissibility (SEAT) from the transmissibility ratios and frequency weighting function of the ISO 8606, while the transmissibility ratios can be calculated from the frequency response analysis of the seven degrees of freedom system dynamic equations. The simulation results in the frequency domain have been verified by those in the time domain for the linear system assumption. The change trends of the driver’s head acceleration, SEAT value, and peak transmissibility ratio from the driver’s head to the seat base with respect to the stiffness and damping coefficients of the seat and cushion have been compared with and verified by one another.

It is proved that in the vehicle system, individually, reducing the individual stiffness and damping coefficients of the seat structure, reducing the individual seat cushion stiffness, and increasing the individual seat cushion damping coefficient one by one will be able to reduce the driver’s head acceleration, peak transmissibility ratio, and SEAT value from the head to seat base, and improve the ride comfort. Simultaneously reducing the stiffness and damping coefficients of the seat and cushion will be able to reduce the driver’s head acceleration, peak transmissibility ratio, and SEAT value from the head to seat base and improve the ride comfort. The reduction effect of the driver’s head acceleration is more substantial under the Class E road profile of a large profile roughness than that under the other road classes.



中文翻译:

基于时域和频域建模的座椅悬架系统驾驶员头部加速度及隔振性能预测

长期暴露于低频振动会对人体健康产生负面影响。

提出了一种快速生物动力系统建模方法来研究人体对整车环境中低频振动激励的响应。将研究座椅悬挂系统的设计参数对隔振性能的敏感性。动力学模型由七自由度 (7DOF) 的集总参数质量-弹簧-缓冲器模型组成,用于预测时域中的头部加速度和频域中的峰值传输率比,在正弦波激励和随机不同道路类别和车速的道路剖面激励。根据ISO 8606的传输率比和频率加权函数,建立了一个计算公式来预测座椅有效振幅传输率(SEAT),而传递率可以通过七自由度系统动力学方程的频率响应分析来计算。线性系统假设的时域仿真结果验证了频域仿真结果。驾驶员头部加速度、SEAT值以及从驾驶员头部到座椅底座的峰值传递比相对于座椅和坐垫的刚度和阻尼系数的变化趋势已经相互比较和验证。

实践证明,在车辆系统中,单独降低座椅结构的单独刚度和阻尼系数,降低单独座垫刚度,逐一增大单独座垫阻尼系数将能够降低驾驶员的头部加速度。 、从头部到座椅底座的峰值传输比和SEAT值,提高乘坐舒适性。同时降低座椅和坐垫的刚度和阻尼系数,将能够降低驾驶员的头部加速度、峰值传递比和从头部到座椅底座的SEAT值,提高乘坐舒适性。与其他路段相比,大轮廓粗糙度的E级路段对驾驶员头部加速度的降低效果更显着。

更新日期:2021-07-28
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