基于刚弹合成模型的重型汽车平顺性灵敏度分析

李 杰,高 雄,王文竹,张振伟

振动与冲击 ›› 2018, Vol. 37 ›› Issue (13) : 85-91.

PDF(998 KB)
PDF(998 KB)
振动与冲击 ›› 2018, Vol. 37 ›› Issue (13) : 85-91.
论文

基于刚弹合成模型的重型汽车平顺性灵敏度分析

  • 李 杰,高  雄,王文竹,张振伟
作者信息 +

Sensitivity analysis for ride comfort of a heavy-duty vehicle based on a rigid-elastic synthesis model

  • LI Jie,GAO Xiong,WANG Wen-zhu,ZHANG Zhen-wei
Author information +
文章历史 +

摘要

针对车体弹性和车辆参数对重型汽车平顺性影响问题,给出了两端自由等截面梁刚弹合成理论,建立了重型汽车刚弹合成模型及其平顺性频域分析方法,基于与多学科优化设计软件Isight联合仿真的方案,采用最优拉丁超立方试验设计对重型汽车平顺性进行了灵敏度分析。研究表明:影响重型汽车平顺性的主要因素为路面等级、车速、悬架刚度和阻尼、轮胎刚度和车体刚度,其中车体刚度主要影响车体上各点的垂直加速度,结果为重型汽车行驶平顺性的性能改善和优化奠定基础。

Abstract

To study the effects of vehicle body elasticity and vehicle parameters on ride comfort of a heavy-duty vehicle, the rigid-elastic synthesis theory for a free-free beam with constant cross sections were derived. A rigid-elastic synthesis model of a heavy-duty vehicle was built, and its ride comfort’s analysis method in frequency domain was proposed. Based on a simulation scheme cooperating with the multi-discipline optimization design software Isight, the sensitivity analysis for ride comfort of a heavy-duty vehicle was performed using the optimal Latin hypercube test design. The results showed that the main factors affecting the ride comfort of a heavy-duty vehicle are road grade, vehicle speed, suspension stiffness and damping, tire stiffness and vehicle body stiffness; the vehicle body stiffness mainly affects various points’ vertical acceleration on vehicle body; the results lay a foundation for the improvement and optimization of heavy-duty vehicles’ ride comfort.


关键词

重型汽车 / 平顺性 / 刚弹合成 / 灵敏度 / Isight / 最优拉丁超立方设计

Key words

heavy-duty vehicle / ride comfort / rigid-elastic synthesis / sensitivity / Isight / optimal Latin hypercube test design

引用本文

导出引用
李 杰,高 雄,王文竹,张振伟. 基于刚弹合成模型的重型汽车平顺性灵敏度分析[J]. 振动与冲击, 2018, 37(13): 85-91
LI Jie,GAO Xiong,WANG Wen-zhu,ZHANG Zhen-wei. Sensitivity analysis for ride comfort of a heavy-duty vehicle based on a rigid-elastic synthesis model[J]. Journal of Vibration and Shock, 2018, 37(13): 85-91

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