3-D Multi-Scale Modeling Combined with Machine Learning for a Novel Structural-Prognosis Framework
Abstract
To enhance predictive capabilities for structural-materials performance by incorporating novel 3-D microstructurally small fatigue crack (MSFC) data into a combined multi-scale-modeling/machine-learning approach.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Mar 23, 2016
- Source ID
- FA95501510172
Entities
People
- Ashley D Spear
Organizations
- Air Force Office of Scientific Research
- United States Air Force
- University of Utah