摘要
运行舒适度是车辆动力性能的重要指标,对其精准高效的预估能够提高车辆设计水平、降低研发成本.综合考虑动力学分析中的不确定因素,分别以随机变量和随机过程描述系统参数和荷载激励,基于虚拟激励法和改进摄动法,提出了复合随机振动问题的确定性分析方法.算例中,考虑9个随机变量参数,计算车体不同位置在轨道不平顺激励下的舒适度指标.结果表明:该方法能够很好地与Monte Carlo模拟吻合,验证了本文方法的正确性,并指出忽略参数不确定性会给出过高的舒适度评价.
Riding comfort is an important index of the vehicle dynamic performance, of which the accurate and efficient prediction is of great importance for improving the vehicle design and reducing the costs. In this paper,the dynamic analysis with uncertain factors was studied. The uncertain parameters were described by random variables and the random excitations were described by random processes, respectively. Based on the pseudo-excitation method combined with the improved perturbation method,a deterministic approach was established for the analysis of double random vibration problems. In the numerical example,nine random variable parameters were considered and the riding comfort indexes at different positions under track irregularities were investigated. Results show that this method agrees well with those by using Monte Carlo method,and ignoring parameter uncertainty will lead to higher comfort evaluation.
出处
《北京工业大学学报》
CAS
CSCD
北大核心
2016年第12期1781-1786,共6页
Journal of Beijing University of Technology
基金
国家“973”计划资助项目(2015CB057804)
关键词
车轨耦合系统
运行舒适度
随机振动
虚拟激励法
改进摄动法
coupled vehicle-track systems
riding comfort
random vibration
pseudo-excitation method
improved perturbation method
