摘要
为了实现对橡胶隔振器隔振性能的仿真预测,针对标准试样的振动传递率进行仿真与测试对比研究。首先,对标准试样进行压缩试验,得到压力-变形数据,基于大变形理论对数据进行处理,得到真实应力-应变曲线,选择MooneyRivlin(M-R)模型定义材料属性;其次,搭建振动传递率测试系统,利用激振器激励标准试样,得到实测的振动传递率曲线;再次,根据测试系统搭建仿真模型,基于瞬态动力学分析得到仿真传递率曲线;最后,将测试结果与仿真结果进行对比,从而实现橡胶隔振性能的仿真预测。结果表明,仿真得到的振动传递率曲线与测试结果一致性较高,峰值频率误差仅为4.8%,能够实现仿真预测,为隔振器的优化设计与性能提升提供仿真指导。
In order to achieve simulation prediction of the isolation performance of rubber isolators,simulation and testing comparative research on the vibration transmissibility of standard specimens were conducted.Firstly,a compression test was conducted on the standard specimen to obtain pressure deformation data.Based on the theory of the large deformation,the data was processed to obtain the true stress-strain curve.The Mooney-Rivlin model was chosen to define the material properties.Secondly,a vibration transmissibility testing system was established,an exciter to excite the standard sample was used,and the measured vibration transmissibility curve was obtained.Then,a simulation model based on the testing system was built,and the simulation transmissibility curve based on the transient dynamic analysis was obtained.Finally,the test results were compared with the simulation results to achieve the simulation prediction of the rubber isolation performance.The results show that the simulated isolation rate curve is highly consistent with the test results,with a peak frequency error of only 4.8%,which can achieve the simulation prediction and provide a simulation guidance for the optimization design and performance improvement of isolators.
作者
陈国平
张旭
史尧臣
陈澎钰
张进男
王相乾
CHEN Guoping;ZHANG Xu;SHI Yaochen;CHEN Pengyu;ZHANG Jinnan;WANG Xiangqian(R&D Center,Hisense Home Appliance Group Co.,Ltd.,Qingdao 266100,China;School of Mechanical and Vehicle Engineering,Changchun University,Changchun 130022,China)
出处
《机械强度》
北大核心
2025年第10期80-85,共6页
Journal of Mechanical Strength
基金
吉林省科技厅项目(YDZJ2021ZYTS150)
海信家电研发中心基金项目(KJSKFXM2023040016)。
关键词
橡胶隔振器
非线性
瞬态动力学
振动传递率
仿真预测
Rubber isolator
Non-linear
Transient dynamics
Vibration transmissibility
Simulation prediction
