3D VISUALIZATION EQUIPMENT FOR BIG DATA ANALYSIS OF MICROSTRUCTURAL EVOLUTION UNDER DYNAMIC LOADING CONDITIONS

Abstract

PROJECT ABSTRACT (publically releasable) The PIÕs current ARO program (Grant: W911NF-14-1-0257) aims to develop microstructure-failure-strength relationships at mesoscales in lightweight metallic systems under dynamic loading conditions and bridge the gap between atomistic and continuum simulations. To achieve this goal, a novel mesoscale modeling method is developed by the PI that extends the time and length scale capabilities of MD simulations in the mesoscales. While these simulations allow the investigation of the evolution of temperature, pressure during deformation and failure, the investigation of the micromechanisms and the evolution of defects, the interaction of defects and the evolution of microstructure is still a challenge due to the massively large data sets generated in these simulations. The current visualization capabilities available to the PI and the remote access of data (currently ~100 TB) on DoD archives limits the analysis of these snapshots to investigate the micromechanisms. The detailed analysis of this Big Data is the current bottleneck in the generation of the scaling relationships and the investigation of the mechanisms for nucleation, evolution and interactions of defect and damage structures that define the deformation and failure behavior of these lightweight metallic materials under dynamic loading conditions. To meet this challenge, 3D visualization equipment is being requested in this Defense University Research Instrumentation Program (DURIP) proposal. This equipment comprises of: a) Two DELL 7910 workstations with sufficient processing capabilities; b) a Dell Interactive Projector 560T; and c) A 100TB local storage capacity. In addition, the proposed equipment will also enable significant enhancements in the research programs funded by the US Army Research Laboratory (Grant: W911NF-14-2-0059; Grant: W911NF-15-2-0026). The equipment, if approved, will enable the development of scaling relationships and analytical models that can be used to probe the dynamic behavior of materials at the continuum scales.

Document Details

Document Type
DoD Grant Award
Publication Date
Sep 11, 2018
Source ID
W911NF1710191

Entities

People

  • Avinash Mohan Dongare

Organizations

  • Army Contracting Command
  • United States Army
  • University of Connecticut

Tags

Fields of Study

  • Engineering

Readers

  • Ocean-Atmosphere Mesoscale Modeling, Data Assimilation, and Flux Boundary Layers
  • Research Science/Academic Research
  • Structural Health Monitoring of Composite Structures.