Memorial University DAI: On crack identification using neural networks

advanced search

Digital Archives Initiative
Memorial University - Electronic Theses and Dissertations 4

menu off

add document to favorites : add page to favorites : reference url

back to results : previous : next

Search this object:

0 hit(s) :: previous hit : next hit

View:

previous page : next page

Document Description

Title	On crack identification using neural networks
Author	Weliyanto, Bobby, 1976-
Description	Thesis (M.Eng.)--Memorial University of Newfoundland, 2002. Engineering and Applied Science
Date	2002.
Pagination	ix, 132 leaves : ill.
Subject	Materials--Cracking--Simulation methods; Fracture mechanics; Neural networks (Computer science);
Degree	M.Eng.
Degree Grantor	Memorial University of Newfoundland. Faculty of Engineering and Applied Science
Discipline	Engineering and Applied Science
Language	Eng
Notes	Bibliography: leaves 90-96.
Abstract	Most structures suffer fatigue damage at some point during their operational life. This damage may lead to a structural failure. An early damage identification is needed to prevent such a structural failure. A technique which depends on the measurement of the changes in the vibration characteristics of the structure can be effective, since inspection can be performed while the structure is in normal operation. This work presents a methodology for using neural networks in identifying structural damage employing the vibration signature data. -- An experimental study was carried out to measure the random response of undamaged and damaged beam models. The damage was simulated by introducing a hand-made saw cut at different points along the length of the beam. The depth of crack was also varied. Two beam models were used: one was simply supported, and the other was a fixed-fixed beam. The beam was excited using random excitation. The autocorrelation function was calculated and used as an approximation for the free vibration of the model. A neural network technique was performed to identify the crack occurrence and its extent. The results show that this technique is able to detect the occurrence of the crack.
Type	Text
Resource Type	Electronic thesis or dissertation
Format	Image/jpeg; Application/pdf
Source	Paper copy kept in the Centre for Newfoundland Studies, Memorial University Libraries
Local Identifier	a1591251
Rights	The author retains copyright ownership and moral rights in this thesis. Neither the thesis nor substantial extracts from it may be printed or otherwise reproduced without the author's permission.
Collection	Electronic Theses and Dissertations
Scanning Status	Completed
PDF File	(11.42 MB) -- http://collections.mun.ca/PDFs/theses/Weliyanto_Bobby.pdf
CONTENTdm file name	1398.cpd