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 | 01011 | |
Number of page(s) | 8 | |
DOI | https://doi.org/10.1051/matecconf/20179001011 | |
Published online | 20 December 2016 |
The investigation of dynamic behaviour of a structure using wave-based substructuring method
1 Center of Excellence of Dynamic and Control, Faculty of Mechanical Engineering, Universiti Teknologi MARA Kampus Shah Alam, 40450 Shah Alam, Selangor, Malaysia
2 Faculty of Mechanical Engineering, Universiti Teknologi MARA Kampus Pasir Gudang, 81750 Masai, Johor, Malaysia
* Corresponding author: mnarani@salam.uitm.edu.my
There is an increasing need for accurate, efficient and economical methods for the investigation of the dynamic behaviour of large complex structures within the engineering community. The component mode synthesis (CMS) has been perceived by the community to be an attractive efficient method for the investigation. However, the method has substantial shortcomings, particularly in analysing a structure having a large number of interface degrees of freedom (DOFs) between substructures. This paper puts forward a method, based upon the wave-based substructuring (WBS) for the investigation of the dynamic behaviour of a structure with a large number of interface DOFs. The finite element method is used to construct the full finite element model of the structure and NASTRAN 103 is used for the normal modes analysis. A new finite element model of the structure with reduced interface DOFs is constructed based on the WBS. The measurement of the dynamic behaviour of the structure is carried out using free-free boundary conditions and an impact hammer test. The predicted results of the proposed method are then compared with those from the full finite element model and experimental counterparts. The accuracy and efficiency of the proposed method are discussed and illustrated with two different case studies.
© The Authors, published by EDP Sciences, 2017
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