dc.contributor.author |
Jansen van Rensburg, Gerhardus J
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|
dc.contributor.author |
Kok, S
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|
dc.contributor.author |
Wilke, DN
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|
dc.date.accessioned |
2012-08-02T08:45:13Z |
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dc.date.available |
2012-08-02T08:45:13Z |
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dc.date.issued |
2012-07 |
|
dc.identifier.citation |
Jansen van Rensburg, GJ, Kok, S and Wilke, DN. Simultaneous estimation of experimental and material parameters. EngOpt 2012 - International Conference on Engineering Optimization, Rio de Janeiro, Brazil, 1-5 July 2012 |
en_US |
dc.identifier.isbn |
978-85-7650-344-6 |
|
dc.identifier.isbn |
9788576503439 |
|
dc.identifier.uri |
http://www.engopt.org/paper/341.pdf
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|
dc.identifier.uri |
http://hdl.handle.net/10204/6034
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|
dc.description |
EngOpt 2012 - International Conference on Engineering Optimization, Rio de Janeiro, Brazil, 1-5 July 2012 |
en_US |
dc.description.abstract |
This conference contribution focusses on the invertibility of non-ideal material tests to accurately determine material parameters. This is done by attempting to model non-ideal test cases and comparing strains as well as force history to the experimental data. An inverse analysis is performed that determines material properties and boundary conditions simultaneously. This idea is investigated using virtual experimental data. The virtual experimental data is obtained by performing a finite element analysis with known material parameters and boundary conditions. The inverse analysis then aims to recover the known material and boundary conditions without using any prior knowledge of the true parameters. This is done to see if such a problem is in fact invertible and if the material and test parameters can be estimated simultaneously. |
en_US |
dc.language.iso |
en |
en_US |
dc.relation.ispartofseries |
Workflow;9365 |
|
dc.subject |
Inverse analysis |
en_US |
dc.subject |
Parameter identification |
en_US |
dc.subject |
Material model calibration |
en_US |
dc.title |
Simultaneous estimation of experimental and material parameters |
en_US |
dc.type |
Conference Presentation |
en_US |
dc.identifier.apacitation |
Jansen van Rensburg, G. J., Kok, S., & Wilke, D. (2012). Simultaneous estimation of experimental and material parameters. http://hdl.handle.net/10204/6034 |
en_ZA |
dc.identifier.chicagocitation |
Jansen van Rensburg, Gerhardus J, S Kok, and DN Wilke. "Simultaneous estimation of experimental and material parameters." (2012): http://hdl.handle.net/10204/6034 |
en_ZA |
dc.identifier.vancouvercitation |
Jansen van Rensburg GJ, Kok S, Wilke D, Simultaneous estimation of experimental and material parameters; 2012. http://hdl.handle.net/10204/6034 . |
en_ZA |
dc.identifier.ris |
TY - Conference Presentation
AU - Jansen van Rensburg, Gerhardus J
AU - Kok, S
AU - Wilke, DN
AB - This conference contribution focusses on the invertibility of non-ideal material tests to accurately determine material parameters. This is done by attempting to model non-ideal test cases and comparing strains as well as force history to the experimental data. An inverse analysis is performed that determines material properties and boundary conditions simultaneously. This idea is investigated using virtual experimental data. The virtual experimental data is obtained by performing a finite element analysis with known material parameters and boundary conditions. The inverse analysis then aims to recover the known material and boundary conditions without using any prior knowledge of the true parameters. This is done to see if such a problem is in fact invertible and if the material and test parameters can be estimated simultaneously.
DA - 2012-07
DB - ResearchSpace
DP - CSIR
KW - Inverse analysis
KW - Parameter identification
KW - Material model calibration
LK - https://researchspace.csir.co.za
PY - 2012
SM - 978-85-7650-344-6
SM - 9788576503439
T1 - Simultaneous estimation of experimental and material parameters
TI - Simultaneous estimation of experimental and material parameters
UR - http://hdl.handle.net/10204/6034
ER -
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en_ZA |