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An elastic mixed-modes I and II fracture criterion using an artificial neural network database
Zarrabi, K. and Tsang, K. H. (2007). An elastic mixed-modes I and II fracture criterion using an artificial neural network database. In: Veidt, Martin, Albermani, Faris, Daniel, Bill, Griffiths, John, Hargreaves, Doug, McAree, Ross, Meehan, Paul and Tan, Andy, Proceedings of the 5th Australasian Congress on Applied Mechanics (ACAM 2007). 5th Australasian Congress on Applied Mechanics (ACAM 2007), Brisbane, Australia, (139-145). 10-12 December, 2007.
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| Attached Files (Some files may be inaccessible until you login with your UQ eSpace credentials) |
| Name |
Description |
MIMEType |
Size |
Downloads |
C1.3.pdf
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Session C1.3: elastic mixed-modes: Zarrabi papers |
application/pdf |
310.25KB |
50 |
| Author(s) |
Zarrabi, K.
Tsang, K. H.
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| Title of paper |
An elastic mixed-modes I and II fracture criterion using an artificial neural network database
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| Conference name |
5th Australasian Congress on Applied Mechanics (ACAM 2007)
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| Conference location |
Brisbane, Australia
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| Conference dates |
10-12 December, 2007
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| Proceedings title |
Proceedings of the 5th Australasian Congress on Applied Mechanics (ACAM 2007)
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| Editor(s) |
Veidt, Martin
Albermani, Faris
Daniel, Bill
Griffiths, John
Hargreaves, Doug
McAree, Ross
Meehan, Paul
Tan, Andy
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| Place published |
Brisbane
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| Publisher |
Engineers Australia
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| Publication date |
2007
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| Year available |
2008
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| Volume number |
1
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| ISBN |
0 8582 5862 5
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| Start page |
139
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| End page |
145
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| Total pages |
7
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| Collection year |
2007
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| Language |
eng
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| Abstract/Summary |
Many thin structural elements such as various parts of fuselage, tubular supports in oil/gas off-shore platforms, etc may fail under the mixed-modes I and II fracture. Although there
are a number of criteria for the mixed-modes I and II fracture, none of them are universally accepted and applied to practical problems. This is mainly due to lack of knowledge about the fracture
toughness under various mode-mixity and rather complexity of the pertinent relationships. This paper proposes a new and relatively simple criterion for the mixed-modes I and II fracture that uses
an artificial neural network database to obtain the pertinent fracture toughness. The application of the criterion is demonstrated by applying it to an example.
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| Subjects |
290501 Mechanical Engineering
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| Keyword(s) |
artificial neural network
mixed-modes I-II fracture
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