| Issue |
MATEC Web Conf.
Volume 108, 2017
2017 International Conference on Mechanical, Aeronautical and Automotive Engineering (ICMAA 2017)
|
|
|---|---|---|
| Article Number | 12001 | |
| Number of page(s) | 5 | |
| Section | Applied Mechanics and Dynamics | |
| DOI | https://doi.org/10.1051/matecconf/201710812001 | |
| Published online | 31 May 2017 | |
Characterisation of the dynamic characteristics of a complex jointed structure
Center of Excellence of Dynamics and Control, Faculty of Mechanical Engineering, Universiti Teknologi MARA (UiTM), 40450 Shah Alam, Malayisa
Every structure that assembled with the joints has a significant effect on the dynamic behaviour of the structure. Therefore, the overall dynamic behaviour of the jointed structure highly relies on these joints. Finite element method (FEM) is commonly used to model an element connector for the jointed structure due to its because every jointed structure has its owns joint properties. The aims of this research are to identify the potential element connectors that are available in commercial finite element analysis package in order to represent the joints for spot welds and adhesive joints. The reliability of potential connector elements are quantified by comparing the predicted result calculated from commercial finite element analysis package with the experimental result that obtained from the LMS Scadas. The model of element connectors have been constructed based on three types of the case studies. The comparison reveals that the combination of Type 2 (ACM2) and Type 3 (CWELD) have shown a better capability to represent the joints of the complex jointed 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.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.