RT Journal Article ID 7f3216382af87d2a A1 Wang, Kun A1 Sun, WaiChing A1 Salager, Simon A1 Na, SeonHong A1 Khaddour, Ghonwa T1 IDENTIFYING MATERIAL PARAMETERS FOR A MICRO-POLAR PLASTICITY MODEL VIA X-RAY MICRO-COMPUTED TOMOGRAPHIC (CT) IMAGES: LESSONS LEARNED FROM THE CURVE-FITTING EXERCISES JF International Journal for Multiscale Computational Engineering JO JMC YR 2016 FD 2016-11-07 VO 14 IS 4 SP 389 OP 413 K1 micro-CT imaging K1 micro-polar plasticity K1 critical state K1 higher-order continuum K1 Hostun Sand AB 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 micro-CT 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. PB Begell House LK https://www.dl.begellhouse.com/journals/61fd1b191cf7e96f,2b8c00292c2d9c29,7f3216382af87d2a.html