DocumentCode :
2777912
Title :
Digital-Image-Correlation Technique versus Infinitely Small Element Technique for Crack Analysis of Pipe with Crevice
Author :
Sung, Wen-Pei ; Shih, Ming-Hsiang ; Sui, Chung-Huan
Author_Institution :
Dept. of Landscape Archit., Nat. Chin-Yi Univ. of Technol., Taichung, Taiwan
Volume :
5
fYear :
2009
fDate :
14-16 Aug. 2009
Firstpage :
105
Lastpage :
109
Abstract :
Conduits of water pipelines are subjected to huge internal pressure for conveying water. Cracks induced by water pollution, material defects and seismic excitation may be forming on a conduit to cause damage. This phenomenon generating stress concentration threatens the safety of a conduit. Thus, techniques to monitor the strain variation of a cracked member are essential. Based on the assumption of linear elastic material, the application of the infinitely small element analysis in a crack problem for numerical simulation was validated. Herein, this research reveals that Digital Image Correlation, DIC, technique is a new manner of surveying the practical strain distribution of a member. By the cracked cylindrical pipe test, the DIC method is used to observe the strain variation in the micro-region surrounding the crack tip. Additionally, to utilize the skills of meshing digital image into subimages increases the precision of analyzing a crack problem via the DIC method. According to the experiment in this research, the capacity of DIC method for capturing a crack progress is validated.
Keywords :
correlation methods; image processing; pipelines; water pollution; crevice; digital image meshing; digital-image-correlation technique; infinitely small element technique; material defects; seismic excitation; strain variation; water pipe crack analysis; water pollution; Capacitive sensors; Digital images; Image analysis; Monitoring; Numerical simulation; Pipelines; Safety; Stress; Testing; Water pollution; crack analysis; digital image correlation; infinitely small element;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Systems and Knowledge Discovery, 2009. FSKD '09. Sixth International Conference on
Conference_Location :
Tianjin
Print_ISBN :
978-0-7695-3735-1
Type :
conf
DOI :
10.1109/FSKD.2009.419
Filename :
5360651
Link To Document :
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