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RUP
FAMNIT - Faculty of Mathematics, Science and Information Technologies
FHŠ - Faculty of Humanities
FM - Faculty of Management
FTŠ Turistica - Turistica – College of Tourism Portorož
FVZ - Faculty of Health Sciences
IAM - Andrej Marušič Institute
PEF - Faculty of Education
UPR - University of Primorska
ZUP - University of Primorska Press
COBISS
University of Primorska, University Library - all departments
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Title:
Experimental verification of an approximate technoque for damage identification in beams using nonlinear regression analysis of bending frequency changes
Authors:
ID
Ekinovic, Elma
(Author)
ID
Doleček, Vlatko
(Author)
ID
Dolinšek, Slavko
(Author)
ID
Hodzic, Nedim
(Author)
Files:
http://annals.fih.upt.ro/pdf-full/2010/ANNALS-2010-1-06.pdf
Language:
English
Work type:
Not categorized
Typology:
1.01 - Original Scientific Article
Organization:
FM - Faculty of Management
Abstract:
This paper presents the experimental verification of an approximate technique for damage identification in beam-like structures, which is based on the use of bending frequency changes and nonlinear regression analysis. The proposed technique was explained in details in [7] so only few necessary steps are recalled here. The identification of damage location and its depth is performed by use of experimentally measured frequency changes and previously established regression relations between bending frequency changes and damage parameters. The experiments were performed on the intact and damaged beams. The damage in these experiments is made by saw cut as a narrow open notch perpendicular to the beam axis. The results of identification are promising taking into account inevitable modelling and measurement errors.
Keywords:
damage identification
,
frequency changes
,
finite element analysis
,
nonlinear regression
Year of publishing:
2010
Number of pages:
str. 43-50
Numbering:
Tome 8, Fasc. 1
PID:
20.500.12556/RUP-4142
ISSN:
1584-2665
UDC:
519.23
COBISS.SI-ID:
3666135
Publication date in RUP:
15.10.2013
Views:
3265
Downloads:
78
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Secondary language
Language:
Unknown
Keywords:
prepoznavanje škode
,
metode
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