陈江攀.频域子结构方法再推导及环境预示应用研究[J].装备环境工程,2023,20(4):26-32. CHEN Jiang-pan.Reformulation of FRF-based Substructuring Method and Its Applicationin Environment Prediction[J].Equipment Environmental Engineering,2023,20(4):26-32.
频域子结构方法再推导及环境预示应用研究
Reformulation of FRF-based Substructuring Method and Its Applicationin Environment Prediction
  
DOI:10.7643/issn.1672-9242.2023.04.004
中文关键词:  频域子结构方法  随机振动  环境预示  频响函数  传递函数  位移阻抗中图分类号:TB123 文献标识码:A 文章编号:1672-9242(2023)04-0026-07
英文关键词:FRF-based substructuring method  random vibration  environment prediction  frequency response function  transfer function  displacement impedance
基金项目:
作者单位
陈江攀 北京电子工程总体研究所,北京 100854 
AuthorInstitution
CHEN Jiang-pan Beijing Institute of Electronic System Engineering, Beijing 100854, China 
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中文摘要:
      目的 利用频域子结构方法实现复杂结构系统随机振动环境的高效准确预示。方法 基于Sherman-Morrison-Woodbury公式,对考虑弹性连接的频域子结构方法进行重新推导,解决现有方法应用场景受弹性连接系统位移阻抗矩阵奇异性限制的问题。进一步,通过推导复杂结构系统的位移频响函数与加速度传递函数之间的转换关系,形成基于频域子结构方法的随机振动环境预示方法。结果 设计了“模拟实验室随机振动试验”的仿真算例,并分别利用有限元软件和文中方法对仿真算例的随机振动环境进行了仿真预示和计算预示,2种方法的预示结果一致。结论 提出了一种基于频域子结构方法的随机振动环境预示方法,为复杂结构系统的环境预示提供了一种新思路。
英文摘要:
      The work aims to efficiently and precisely predict the random vibration environment of complex structure systems according to the FRF-based substructuring method. First of all, the FRF-based substructuring method considering elastic connections was reformulated based on the Sherman-Morrison-Woodbury formula to break the bottleneck that the application field of the existing method was limited by the singularity of displacement impedance matrix of elastic connection systems. Secondly, according to the transformation relationship between the force-displacement frequency response function and the acceleration transfer function of complex structure systems, the prediction method for random vibration environment based on the FRF-based substructuring method was proposed. A simulation example for "simulating random vibration experiment" was designed. The finite element model and the method proposed in this work were used to predict the simulation and calculation of the random vibration environment for the simulation example. The predicted results of the two methods were consistent. A random vibration environment prediction method based on the FRF-based substructuring method is proposed. It provides a new idea for environmental prediction of complex structure systems.
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