Uncertainty-Quantified, Multi-Scale Structure-Material Modeling Framework for Structural-Material Fatigue and Failure

Abstract

The proposed research will develop a comprehensive spatio-temporal multi-scalemodeling framework, integrated with uncertainty quantification, for failure and fatigue lifeprediction of aerospace materials and structures. The models will incorporate the effects ofmaterial microstructure, along with time-dependent inhomogeneous deformation and damagemechanisms at the material scales, into structural-scale response functions for use in largescalestructural simulations. In the context of structure-material failure, a prime focus will beon linking nucleation of defects and growth of cracks in the material microstructure, with adamage manifestation at the structural scale resulting in a loss macroscopic properties likestiffness and strength. While the multi-scale framework will have a broad application domainpertaining to performance and reliability, a specific problem that will be addressed in thisresearch is failure and fatigue life prediction due to cyclic loading with transients. Thepowerful computational multi-scale modeling will also have direct implications on structurallocation-dependent material design. The research program will contribute strongly toprognosis efforts for realizing unprecedented predictive capability for material-structureperformance, health and life.

Document Details

Document Type
DoD Grant Award
Publication Date
Apr 09, 2018
Source ID
FA95501810003

Entities

People

  • Somnath Ghosh

Organizations

  • Air Force Office of Scientific Research
  • Johns Hopkins University
  • United States Air Force

Tags

Readers

  • Computational Fluid Dynamics (CFD)
  • Neurological Diseases/Conditions/Disorders
  • Structural Health Monitoring of Composite Structures.

Technology Areas

  • Space