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Estimating Rotational Frequency Response Function Using Mode Expansion and Frequency Response Function Synthesis Method

Mirza, WIIWI, Rani, MNA, Yunus, MA, Stancioiu, D and Shripathi, V (2021) Estimating Rotational Frequency Response Function Using Mode Expansion and Frequency Response Function Synthesis Method. International Journal of Automotive and Mechanical Engineering, 18 (2). pp. 8738-8750. ISSN 2229-8649

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Abstract

The rotational frequency response function (RFRF) plays a crucial role in increasing the accuracy of the calculated results of the frequency-based substructuring method. However, RFRFs are often omitted due to the difficulties in the measurement process and limitations of the equipment. This paper presents a scheme of estimating the rotational FRF of an irregular plate structure using the FE model reduction and expansion method. The reduced FE model was introduced using the improved reduction system (IRS) and expanded to the experimental modal model (EMA model) using the system reduction and the expansion (SEREP) method. The FRF expanded method was then employed to derive the translational and rotational FRFs from the expanded EMA model. The accuracy of the expanded FRFs was evaluated with the EMA model of the irregular plate. It was found that the translational and rotational FRFs estimated from the proposed scheme were in good agreement with the EMA counterparts. Furthermore, the patterns of the estimated RFRFs were well correlated with the EMA RFRFs. This work shows that the proposed scheme may offer an attractive alternative way of accurately determining the RFRs of complex structures or structural components.

Item Type: Article
Uncontrolled Keywords: 0902 Automotive Engineering; 0912 Materials Engineering; 0913 Mechanical Engineering
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
T Technology > TJ Mechanical engineering and machinery
Divisions: Engineering
Publisher: Universiti Malaysia Pahang Publishing
Related URLs:
SWORD Depositor: A Symplectic
Date Deposited: 19 Oct 2022 10:18
Last Modified: 26 Jan 2023 09:34
DOI or ID number: 10.15282/ijame.18.2.2021.11.0667
URI: https://researchonline.ljmu.ac.uk/id/eprint/17888
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