eprintid: 4414
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/44/14
datestamp: 2023-11-09 16:16:05
lastmod: 2023-11-09 16:16:05
status_changed: 2023-11-09 15:58:23
type: article
metadata_visibility: show
creators_name: Wei, K.S.
creators_name: Karuppanan, S.
creators_name: Wahab, A.A.
title: Development of the shape functions for fatigue test using digital image correlation
ispublished: pub
keywords: Affine transformations; Digital image correlation technique; Digital image correlations; Image correlations; Measurement methods; Mechanical failures; Optical strain measurement; Shape functions, Algorithms; Coatings; Fatigue of materials; Fatigue testing; Image analysis; Industrial engineering, Strain measurement
note: cited By 1; Conference of 4th International Conference on Mechanical and Manufacturing Engineering, ICME 2013 ; Conference Date: 17 December 2013 Through 18 December 2013; Conference Code:101955
abstract: Mechanical failure of a structure or a machine during the regular working conditions are often related to the fatigue damage. As a consequence, the structural integrity monitoring of a system has always been a laborious task in the field of engineering. Since the strain measurement is one of the most important predictors of fatigue life, a precise strain measurement method is therefore required. There are many strain measurement methods in fatigue analysis; namely strain gauge, brittle coating method, photoelastic-coating and other optical strain measurement methods. However, various advantages and disadvantages have been found in each of the method mentioned above. Hence, there is always a need to develop a precise and yet informative strain measurement method in mechanical testing. The objective of this study is to develop the first-order shape functions for fatigue test using the Digital Image Correlation technique. In this study, sub-pixel accuracy image correlation algorithm was developed by using MATLAB whereby the positions of the points were precisely selected by using the fine-tuned function. As a result, the first-order shape functions were determined by retrieving the information that is stored in the affine transformation matrix. The works presented in this paper were mainly focused on the development of the algorithms, together with the results and the discussions for the validation exercises. In conclusion, a good agreement was achieved and the newly developed algorithm was proven to be accurate. © (2014) Trans Tech Publications, Switzerland.
date: 2014
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84891959865&doi=10.4028%2fwww.scientific.net%2fAMM.465-466.862&partnerID=40&md5=995caaa99bfbd028f5abb91108b03baf
id_number: 10.4028/www.scientific.net/AMM.465-466.862
full_text_status: none
publication: Applied Mechanics and Materials
volume: 465-46
place_of_pub: Bangi-Putrajaya
pagerange: 862-866
refereed: TRUE
isbn: 9783037859339
issn: 16609336
citation:   Wei, K.S. and Karuppanan, S. and Wahab, A.A.  (2014) Development of the shape functions for fatigue test using digital image correlation.  Applied Mechanics and Materials, 465-46.  pp. 862-866.  ISSN 16609336