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一种舰用橡胶减振器疲劳寿命预测方法研究 被引量:6

Fatigue life prediction method for shipborne rubber shock absorber
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摘要 针对橡胶减振器在舰船设备应用中常伴随着不可预见的疲劳失效问题,对舰用BE-300型橡胶减振器疲劳寿命预测方法进行了研究。基于连续介质力学理论,通过开展橡胶材料拉伸疲劳试验,建立了减振器橡胶材料的疲劳寿命预测模型;根据减振器橡胶材料的单轴拉伸和单轴压缩试验数据拟合结果,选择2阶多项式本构模型进行了橡胶减振器的有限元仿真;根据有限元仿真计算结果提取了橡胶减振器的最大主应力分量,结合橡胶材料疲劳寿命模型预测了橡胶减振器的疲劳寿命。研究结果表明:选取不同的疲劳损伤参量所得到的寿命预测结果并不相同,以等效应变为损伤参量对橡胶减振器寿命进行预测得到的结果与实际情况较为符合,该方法可用来预测舰用橡胶减振器的疲劳寿命。 Aiming at the unforeseen fatigue failure problem of rubber shock absorber in ship equipment application,the fatigue life prediction method of marine BE-300 rubber shock absorber was studied.Based on the theory of continuum mechanics,the fatigue life prediction model of damper rubber material was established by tensile fatigue test of rubber material.According to the uniaxial tension and uniaxial compression test data fitting results of the rubber material of the shock absorber,the second-order polynomial constitutive model was selected to simulate the finite element of the rubber shock absorber.According to the finite element simulation results,the maximum principal stress component of the rubber shock absorber was extracted,and the fatigue life prediction of the rubber shock absorber was predicted by the fatigue life prediction model of rubber material.The results indicate that the life prediction results obtained by selecting different fatigue damage parameters are not the same.The results obtained by predicting the life of rubber shock absorber with equal effect into damage parameters are in line with the actual situation.This method can be used to predict the fatigue life of a marine rubber shock absorber.
作者 李东方 赵应龙 肖全山 LI Dong-fang;ZHAO Ying-long;XIAO Quan-shan(Institute of Noise&Vibration,Naval University of Engineering,Wuhan 430033,China;National Key Laboratory on Ship Vibration&Noise,Wuhan 430033,China)
出处 《机电工程》 CAS 北大核心 2020年第7期811-815,共5页 Journal of Mechanical & Electrical Engineering
基金 装备预研国防科技重点实验室基金资助项目(614220406030917)。
关键词 橡胶减振器 拉伸疲劳试验 有限元仿真 疲劳寿命预测 rubber shock absorber tensile fatigue test finite element simulation fatigue life prediction
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