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Improved substructure synthesis method using experimental modal analysis technique to solve analysis and design problems based on security issues
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Publication Year
2020-11-01
Publisher
Academic Press
Citation
Mechanical Systems and Signal Processing, Vol.145
Keyword
Frequency response functionNatural frequencySecurity issueSize optimization problemSubstructure synthesis method
Mesh Keyword
Doubly clamped beamDynamic stiffness matrixExperimental modal analysisFinished productsFrequency response functionsGeometry informationStiffness matricesSubstructure synthesis method
All Science Classification Codes (ASJC)
Control and Systems EngineeringSignal ProcessingCivil and Structural EngineeringAerospace EngineeringMechanical EngineeringComputer Science Applications
Abstract
A substructure synthesis method based on frequency response functions is improved to solve a security-issue-based analysis problem and is applied to an optimal design problem for a finished product consisting of two substructures. While geometry information is provided for one substructure, a limited number of frequency response functions are provided for the other substructure instead of its geometry information. The dynamic stiffness matrix of the latter is estimated from the provided frequency response functions using an experimental modal analysis technique. It is combined with the mass and stiffness matrices of the former to predict the vibration natural frequency of a finished product. The improved substructure synthesis method is used to predict the frequency response functions of a T-shaped beam consisting of a doubly clamped beam and a cantilever beam. Additionally, in a vehicle steering module, it is applied to a size optimization problem that is formulated to maximize its natural frequency. Numerical analysis and design results indicate the effectiveness of the improved substructure synthesis method for industrial applications.
Language
eng
URI
https://dspace.ajou.ac.kr/dev/handle/2018.oak/31306
DOI
https://doi.org/10.1016/j.ymssp.2020.106934
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Type
Article
Funding
This research was supported by the Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (No. 2016R1D1A1B03932357 ) and by the Technology Innovation Program (10048305, Launching Plug-in Digital Analysis Framework for Modular System Design) funded by the Ministry of Trade, Industry, & Energy (MI, Korea) .
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Department of Mechanical Engineering
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