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Title
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An Artificial Neural Network Approach to Elastic-Creep Life Assessment
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| Author(s) |
Zarrabi, Khosrow, Mechanical & Manufacturing Engineering, Faculty of Engineering, UNSW
Hendarta, K.W., Mechanical & Manufacturing Engineering, Faculty of Engineering, UNSW
Halim, H.P., Mechanical & Manufacturing Engineering, Faculty of Engineering, UNSW
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| Keyword(s) |
Life Assessment
Artificial Neural Network
Creep
Mechanical Engineering (290501)
Environmental Engineering not elsewhere classified (291199)
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| Resource Type |
Conference Paper |
| Conference Details |
2008 Australasian Structural Engineering Conference (ASEC 2008); Melbourne, Australia; June 2008
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| Publication Details |
Australasian Structural (ASEC2008) Engineering Conference; The Meeting Planners, Melbourne, Australia; ISBN:9781877040702; pp.18.1-18.8
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| Description/Abstract |
This paper describes a new multiaxial model for predicting creep lives of structures. The model hypothesises that the creep damage is proportional to the creep internal energy density absorbed by the material. The authors argue that the model is the most appropriate for characterizing gross creep damage from a macroscopic point of view because it takes into accounts both the multiaxial internal deformation and loading. The verification and application of the model are demonstrated by applying it to various notched bars for which the experimental data are available. The results show that the proposed model is capable of predicting creep lives of the structures conservatively. |
| Language |
EN |
| Rights |
Please click here to view the rights |
| Published Version |
http://www.asec2008.com/index.php |
| Citation Link |
Please use this identifier to cite or link to this item: http://handle.unsw.edu.au/1959.4/34752 |
| Full Text | 
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| Total Attachment(s) | 1 |
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