2016 Articles
Identifying Material Parameters for a Micro-Polar Plasticity Model Via X-Ray Micro-Computed Tomographic (Ct) Images: Lessons Learned from the Curve-Fitting Exercises
Abstract:
Unlike a conventional first-order continuum model, the material parameters of which can be identified via an inverse problem conducted at material point that exhibits homogeneous deformation, a higher-order continuum model requires information from the derivative of the deformation gradient. This study concerns an integrated experimental-numerical procedure designed to identify material parameters for higher-order continuum models. Using a combination of microCT images and macroscopic stress–strain curves as the database, we construct a new finite element inverse problem which identifies the optimal value of material parameters that matches both the macroscopic constitutive responses and the meso-scale micropolar kinematics. Our results indicate that the optimal characteristic length predicted by the constrained optimization procedure is highly sensitive to the types and weights of constraints used to define the objective function of the inverse problems. This sensitivity may in return affect the resultant failure modes (localized vs. diffuse), and the coupled stress responses. This result signals that using the mean grain diameter alone to calibrate the characteristic length may not be sufficient to yield reliable forward predictions.
Key words:
micro-CT imaging, micro-polar plasticity, critical state, higher-order continuum, Hostun Sand
Files
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JMC1404_5_-16841.pdf application/pdf 1.84 MB Download File
Also Published In
- Title
- nternational Journal for Multiscale Computational Engineering
- DOI
- https://doi.org/10.1615/IntJMultCompEng.2016016841
More About This Work
- Academic Units
- Civil Engineering and Engineering Mechanics
- Published Here
- November 15, 2016