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作 者:王鹏[1,2] 杨绍普 刘永强[1] 董旭峰[3] 赵义伟[1,2] WANG Peng;YANG Shaopu;LIU Yongqiang;DONG Xufeng;ZHAO Yiwei(State Key Lab of Mechanical Behavior and System Safety of Traffic Engineering Structures,Shijiazhuang Tiedao University,Shijiazhuang 050043,China;School of Transportation,Shijiazhuang Tiedao University,Shijiazhuang 050043,China;School of Materials Science and Engineering,Dalian University of Technology,Dalian 116024,China)
机构地区:[1]石家庄铁道大学省部共建交通工程结构力学行为与系统安全国家重点实验室,石家庄050043 [2]石家庄铁道大学交通运输学院,石家庄050043 [3]大连理工大学材料科学与工程学院,大连116024
出 处:《振动与冲击》2022年第11期189-198,224,共11页Journal of Vibration and Shock
基 金:国家重点研发计划资助项目(2020YFB2007700);国家自然科学基金资助项目(11790282,12172235,12072208,52072249);石家庄铁道大学国家重点实验室开放基金资助项目(ZZ2021-13);河北省研究生创新资助项目(CXZZBS2021112)。
摘 要:为了定量描述不同应变幅值、频率和磁场下磁流变弹性体(magnetorheological elastomer,MRE)的力学特性,提出了一种新的参数识别方法。采用Bouc-Wen模型表征MRE的非线性滞回特性,通过试验数据验证了模型有效性,基于对模型参数与应变幅值、频率和磁场的耦合关系分析,提出了多工况参数识别方法。将仿真值与试验值之间的误差作为目标函数,利用GA-PSO混合算法对Bouc-Wen模型参数进行识别,选用多种工况的试验数据验证识别结果。结果表明,多工况参数识别方法得到的模型参数表达式在较宽的应变幅值、频率和磁场范围内是准确的,能够反映MRE的力学特性。识别和非识别工况下MRE滞回曲线的仿真值与试验值吻合率高于93%,证明了多工况参数识别方法的有效性,该方法也可用于其他模型的参数识别。Here,to quantitatively describe mechanical properties of magnetorheological elastomer(MRE)under different strain amplitudes,frequencies and magnetic fields,a new parametric identification method was proposed.Bouc-Wen model was used to characterize nonlinear hysteretic characteristics of MR elastomer.The effectiveness of the model was verified using test data.Based on analysis of coupling relations among model parameters and strain amplitude,frequency and magnetic field,a multi-condition parametric identification method was proposed.Taking errors between simulation values and test values as objective functions,Bouc-Wen model parameters were identified by using GA-PSO hybrid algorithm,and the identification results were verified by using test data under various working conditions.The results showed that model parameter expressions obtained using the multi-condition parametric identification method are accurate within wider ranges of strain amplitude,frequency and magnetic field,and can reflect mechanical characteristics of MRE;coincidence rates between simulation values and test values of MRE hysteretic curves under identified and non-identified working conditions are higher than 93% to prove the effectiveness of the multi-condition parametric identification method;the proposed method can also be used for parametric identification of other models.
关 键 词:磁流变弹性体(MRE) 性能试验 滞回特性 BOUC-WEN模型 参数识别方法
分 类 号:TB381[一般工业技术—材料科学与工程]
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