An integrated computational framework for modeling materials with complex and evolving microstructures

Abstract

An integrated computational framework is proposed for the automated simulation of Multiphysics behavior of materials with complex and/or evolving microstructures. The proposed methodology, which guarantees the elimination of the geometric discretization error, relies on three seamlessly integrated components: (i) A new virtual reconstruction algorithm for synthetizing realistic material microstructures based on morphological and statistical information extracted from imaging data; (ii) a novel non-iterative mesh generation algorithm allowing the implementation of a structured grid for discretizing the microstructural model and transforming that into a high quality conforming mesh; (iii) a new finite element (FE) formulation implementing a non-isoparametric NURBS-enhanced mapping for creating geometrically exact models (zero geometric discretization error) without introducing additional degrees of freedom (DOFs)

Document Details

Document Type
DoD Grant Award
Publication Date
Sep 11, 2017
Source ID
FA95501710350

Entities

People

  • Soheil Soghrati

Organizations

  • Air Force Office of Scientific Research
  • Ohio State University
  • United States Air Force

Tags

Readers

  • Computational Fluid Dynamics (CFD)
  • Distributed Systems and Data Platform Development
  • Finite Element Method (FEM) for solving Partial Differential Equations (PDEs)

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference
  • AI & ML - Machine Learning Algorithms