Nonlinear Dynamic Modeling for Joint Interfaces by Combining Equivalent Linear Mechanics with Multi-objective Optimization
Nonlinear Dynamic Modeling for Joint Interfaces by Combining Equivalent Linear Mechanics with Multi-objective Optimization
复制标题
等效线性力学与多目标优化相结合的关节界面非线性动态建模
DOI：
10.1007/s10338-019-00156-w
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发表时间：
2020-08
影响因子：
2.2
通讯作者：
Fan Xuanhua
中科院分区：
文献类型：
--
作者：
Wang Dong;Fan Xuanhua
提出了将等效线性力学与多目标优化算法相结合的非线性动力学建模来描述关节界面的非线性行为。关节接口被简化为等效的虚拟材料或线性弹簧阻尼器元件。然后使用多目标优化的遗传算法通过最小化模拟动态特性与实验结果之间的误差来识别等效接头的机械性能，包括螺栓连接梁的模态频率和橡胶隔振系统的频率响应函数（FRF）。将频响函数划分为多个具有变频关节动态特性的分段，以考虑非线性动态行为，并研究分段数和激励幅度对频响函数的影响。结果表明，仿真的模态频率和频响函数动态特性与实验结果吻合较好。随着分段数的增加，模拟的频响函数与实验结果吻合得更好，表明对不同激励幅值作用下的关节界面的非线性动态行为建模具有良好的性能。较大的激励幅度将降低关节刚度。
The nonlinear dynamic modeling by combining the equivalent linear mechanics with the multi-objective optimization algorithm is proposed to describe the nonlinear behaviors of the joint interfaces. The joint interfaces are simplified as the equivalent virtual material or linear spring–damper element. The genetic algorithm for multi-objective optimization is then used to identify the mechanical properties of the equivalent joint by minimizing the error between the simulated dynamic characteristics and the experimental results, including the modal frequencies of the bolted joint beam and the frequency response functions (FRFs) of the rubber isolation system. The FRFs are divided into several subsections with frequency-varied dynamic properties of the joint to consider the nonlinear dynamic behaviors, and the effects of subsection number and excitation amplitudes on the FRFs are also investigated. The results show that the simulated dynamic characteristics of modal frequencies and FRFs agree well with the experimental results. With the increase in the subsection number, the simulated FRFs agree better with the experimental results, indicating a good performance of modeling the nonlinear dynamic behaviors of the joint interfaces forced by different excitation amplitudes. Larger excitation amplitudes will decrease the joint stiffness.
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DOI：
10.2172/1028891
发表时间：
2009-07
期刊：
--
影响因子：
--
作者：
Nicoli M. Ames;J. Lauffer;M. Jew;D. Segalman;D. Gregory;M. Starr;B. Resor
通讯作者：
Nicoli M. Ames;J. Lauffer;M. Jew;D. Segalman;D. Gregory;M. Starr;B. Resor
影响因子：
1
作者：
Congying Deng;Liang Heng;Qin Yin;Lijun Lin;Guofu Yin
通讯作者：
Congying Deng;Liang Heng;Qin Yin;Lijun Lin;Guofu Yin
影响因子：
4.7
作者：
Yun, CB;Bahng, EY
通讯作者：
Bahng, EY
影响因子：
4.7
作者：
Dooho Lee;W. Hwang
通讯作者：
Dooho Lee;W. Hwang
影响因子：
8.4
作者：
Dana Nicgorski;P. Avitabile
通讯作者：
Dana Nicgorski;P. Avitabile