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Experimental analysis of crack initiation and propagation in dynamically shear-loaded aluminium specimens using the digital image correlation method
ID
Litrop, Aljaž
(
Author
),
ID
Zobec, Peter
(
Author
),
ID
Šeruga, Domen
(
Author
),
ID
Nagode, Marko
(
Author
),
ID
Klemenc, Jernej
(
Author
)
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https://www.sciencedirect.com/science/article/pii/S1350630722004691
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Abstract
The present paper investigates crack growth in specially designed specimens of 6061 aluminium alloy sheets subjected to dynamic shear loads. The specimens were tested with a low-frequency alternating shear load until complete fracture. The main objective of this work was to observe the crack initiation and growth under alternating shear load using the Digital Image Correlation (DIC) method. Each time the peak amplitude was reached, a photograph of the shear area on the specimen surface was taken to investigate crack grow. The length of the crack in every load cycle was then estimated by an algorithm using the DIC strain fields as input data. The DIC results were compared to FE. The observation of the shear strain component is presented as the most appropriate method to predict the location of the crack even before its initiation.
Language:
English
Keywords:
fatigue
,
shear
,
crack propagation
,
digital image correlation method
Work type:
Article
Typology:
1.01 - Original Scientific Article
Organization:
FS - Faculty of Mechanical Engineering
Publication status:
Published
Publication version:
Author Accepted Manuscript
Publication date:
31.05.2022
Year:
2022
Number of pages:
11 str.
Numbering:
Vol. 139, art. 106495
PID:
20.500.12556/RUL-137291
UDC:
531.391:620.178.3
ISSN on article:
1350-6307
DOI:
10.1016/j.engfailanal.2022.106495
COBISS.SI-ID:
111079427
Publication date in RUL:
09.06.2022
Views:
800
Downloads:
72
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Record is a part of a journal
Title:
Engineering failure analysis
Shortened title:
Eng fail. anal.
Publisher:
Elsevier
ISSN:
1350-6307
COBISS.SI-ID:
15354117
Licences
License:
CC BY-NC-ND 4.0, Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
Link:
http://creativecommons.org/licenses/by-nc-nd/4.0/
Description:
The most restrictive Creative Commons license. This only allows people to download and share the work for no commercial gain and for no other purposes.
Licensing start date:
31.05.2022
Applies to:
Available online
Secondary language
Language:
Slovenian
Keywords:
utrujanje
,
strig
,
rast razpoke
,
metoda digitalne korelacije slik
Projects
Funder:
ARRS - Slovenian Research Agency
Project number:
P2-0182
Name:
Razvojna vrednotenja
Funder:
ARRS - Slovenian Research Agency
Funding programme:
Young researchers
Project number:
ARRS-MR-LP-2020/544
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