Multi-Scale Computational Models for Fatigue Predictions in Polycrystalline Aluminum Alloys

Abstract

The research project will launch an integrated computational modeling program at Johns Hopkins University. The research will address a critical technological need in the fatigue and life prediction of aluminum alloys used in navy aircraft systems by introducing state-of-the-art methods in Computational Mechanics and Computational Materials Science. Building on the previous developments by the PI, the proposed research will develop a comprehensive computational framework involving micro-mechanical deformation and failure analysis to address the challenging issue of fatigue crack nucleation and propagation in polycrystalline microstructures of 7000 series Aluminum alloys, e.g. Al 7075-T6. The research will lead to better prediction of low cycle fatigue (LCF) and high cycle fatigue (HCF) behaviors in these alloys.

Document Details

Document Type
DoD Grant Award
Publication Date
Aug 12, 2016
Source ID
N000141512040

Entities

People

  • Somnath Ghosh

Organizations

  • Johns Hopkins University
  • Office of Naval Research
  • United States Navy

Tags

Readers

  • Materials Science and Engineering.
  • Research Science/Academic Research
  • Structural Health Monitoring of Composite Structures.