Issue |
MATEC Web Conf.
Volume 90, 2017
The 2nd International Conference on Automotive Innovation and Green Vehicle (AiGEV 2016)
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Article Number | 01020 | |
Number of page(s) | 10 | |
DOI | https://doi.org/10.1051/matecconf/20179001020 | |
Published online | 20 December 2016 |
Correlation of numerical and experimental analysis for dynamic behaviour of a body-in-white (BIW) structure
1 Advance Structural Integrity and Vibration Research (ASIVR), Faculty of Mechanical Engineering, Universiti Malaysia Pahang, 26600 Pekan, Pahang, Malaysia
2 Automotive Engineering Centre, Universiti Malaysia Pahang, 26600 Pekan, Pahang, Malaysia
3 Department of Engineering Mechanics, Faculty of Mechanical and Manufacturing Engineering, Universiti Tun Hussein Onn Malaysia, 86400 Parit Raja, Batu Pahat, Johor, Malaysia
* Corresponding author: mshahrir@ump.edu.my
In order to determine the reliability of data gathered using computational version of finite element analysis, experimental data is often used for validation. In case of finite element analysis, it can sometimes be considered as inaccurate especially when subjected to complex and large structure such as body-in-shite. This is due to difficulties that might occur in modelling of joints, boundary conditions and damping of the structure. In this study, a process of comparison and validation of model based test design with modal testing results was conducted. Modal properties (natural frequencies, mode shapes, and damping ratio) of a body-in-white (BIW) structure were determined using both experimental modal analysis (EMA) and finite element analysis (FEA). Correlation of both sets of data was performed for validation. It appeared that there was significant value of error between those two sets of data. The discrepancies that appear after correlation was then reduced by performing model updating procedure. The results presented here may demonstrate the effectiveness of model updating technique on improving the complex structure such as BIW structure.
© The Authors, published by EDP Sciences, 2017
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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