An Information-Theoretic Approach for Computational Material Modeling

Tomonari Furukawa; John G. Michopoulos

doi:10.4028/www.scientific.net/AMR.33-37.857

Paper Titles

Improvement of Unstructured Quadrilateral Mesh Quality for Multigrid Analysis
p.833

The Study of Numerical Stability in the SPH Method
p.839

A Simple Method in Preventing Numerical Fractures of SPH Computations
p.845

The Numerical Simulation of a Bird-Impact on an Aircraft Windshield by Using the SPH Method
p.851

An Information-Theoretic Approach for Computational Material Modeling
p.857

From Frosen Image-Based Bioflow Simulations to Integrative Modeling of Living Interfaces
p.863

Analysis of Stick-Slip Motion by the Rate-Dependent Friction Model
p.867

Development of Multi-Scale Computation Framework to Investigate the Failure Behavior of the Materials
p.875

Numerical Limit Analysis of Two Dimensional Structures by the MLPG Method with Natural Neighbour Interpolation
p.881

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 33-37An Information-Theoretic Approach for...

An Information-Theoretic Approach for Computational Material Modeling

Abstract:

This paper presents an information-theoretic approach for computational material modeling, which characterizes materials by effectively utilizing all the known information including prior and empirical information. The approach is built within the framework of recursive Bayesian estimation where various inverse analysis techniques, such as Singular Value Decomposition (SVD) and Kalman Filter (KF) can be implemented. Numerical examples first investigate the validity of the proposed approach via parametric studies. The proposed approach has been then successfully applied to the identification of a composite specimen using a triaxial testing machine.