Computational modal analysis on finite element model of body-in-white structure and its correlation with experimental data

N. A. Z., Abdullah and M. S. M., Fouzi and M. S. M., Sani (2020) Computational modal analysis on finite element model of body-in-white structure and its correlation with experimental data. International Journal of Automotive and Mechanical Engineering (IJAME), 17 (2). pp. 7915-7926. ISSN 2229-8649 (Print); 2180-1606 (Online). (Published)

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Abstract

Nowadays, computational modelling and simulation are highly popular to increase the efficiency, productivity and shorten the product development period. The quality of a structure also can be determined by using computational analysis such as finite element analysis. Body-in-white structure, as one of the most important structures in the automotive field, has gained a lot of interest as the topic of research. This increase the demand of having a good finite element model of the structure. However, since body-in-white is a highly complicated structure, sometimes modelling simplification cannot be avoided. This study intended to investigate the level of accuracy of the simplified body-in-white model that was modelled by using several modelling strategies. The first body-in-white finite element model was modelled by neglecting the existing joint element in its actual structure. The other body-in-white model includes the joint element by including two different one-dimensional elements to replicate the joining in BIW actual structure. Validation on these body-in-white models are performed by correlating the finite element modal properties with the experimental modal properties. The discrepancies that had surfaced after the correlation was reduced by using a model updating method. The discussed results showed that as the model is under major simplification, several parameters were inaccurately assumed in the initial body-in-white model. Thus, the model updating method has successfully determined the less accurate parameter and the level of discrepancies between the model and experimental data were successfully reduced.

Item Type: Article
Additional Information: Indexed by Scopus and MyCite
Uncontrolled Keywords: Normal modes analysis; Impact hammer test; Model updating; Sensitivity analysis; Natural frequency
Subjects: T Technology > TJ Mechanical engineering and machinery
T Technology > TL Motor vehicles. Aeronautics. Astronautics
Faculty/Division: Institute of Postgraduate Studies
Faculty of Mechanical and Automotive Engineering Technology
Depositing User: Mrs Norsaini Abdul Samat
Date Deposited: 20 Oct 2020 06:26
Last Modified: 20 Oct 2020 06:26
URI: http://umpir.ump.edu.my/id/eprint/29531
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