Jansen van Rensburg, Gerhardus JKok, SWilke, DN2012-08-022012-08-022012-07Jansen 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 2012978-85-7650-344-69788576503439http://www.engopt.org/paper/341.pdfhttp://hdl.handle.net/10204/6034EngOpt 2012 - International Conference on Engineering Optimization, Rio de Janeiro, Brazil, 1-5 July 2012This 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.enInverse analysisParameter identificationMaterial model calibrationConference PresentationJansen van Rensburg, G. J., Kok, S., & Wilke, D. (2012). Simultaneous estimation of experimental and material parameters. http://hdl.handle.net/10204/6034Jansen van Rensburg, Gerhardus J, S Kok, and DN Wilke. "Simultaneous estimation of experimental and material parameters." (2012): http://hdl.handle.net/10204/6034Jansen van Rensburg GJ, Kok S, Wilke D, Simultaneous estimation of experimental and material parameters; 2012. http://hdl.handle.net/10204/6034 .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 -