Simultaneous estimation of boundary conditions and material model parameters
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Date
Authors
Jansen van Rensburg, Gerhardus J.
Kok, Schalk
Wilke, Daniel Nicolas
Journal Title
Journal ISSN
Volume Title
Publisher
Springer
Abstract
Room temperature experimental compression test data is available for different hardmetals. This data indicates the presence of some spatial inhomogeneity due to a compression instability, eccentric loading or time varying equivalent bending moment. To account for this, an inverse analysis is employed that determines not only the constitutive material model parameter values but also the displacement boundary conditions that best replicate the experimental data. The unknown boundary displacement history is approached using a systematically refined piecewise linear approximation, determined alongside material parameter values. The systematic simultaneous estimation of material parameter values and boundary approximations is also investigated using a virtual problem for which the exact solution is known. This investigation confirms that known material parameter values and boundary conditions can be recovered without using any prior knowledge of the exact displacement boundary conditions.
Description
Keywords
Inverse problem, Finite element analysis (FEA), Parameter identification, Material model calibration, Hardmetal compression, Piecewise linear techniques, Identification (control systems), Compression testing, Boundary conditions, Parameter estimation, Spatial in-homogeneity, Simultaneous estimation, Piecewise linear approximations, Material modeling, Hard metals, Displacement boundary conditions, Constitutive materials, Boundary approximations
Sustainable Development Goals
SDG-09: Industry, innovation and infrastructure
SDG-12: Responsible consumption and production
SDG-12: Responsible consumption and production
Citation
Van Rensburg, G.J.J., Kok, S. & Wilke, D.N. Simultaneous estimation of boundary conditions and material model parameters. Structural and Multidisciplinary Optimization (2018). https://doi.org/10.1007/s00158-018-1924-4. NYP.
