Program Manager: Leo Christodoulou, Ph.D.
The D-3D program builds on the lessons learned in DSO's Accelerated Insertion of Materials (AIM) and Prognosis programs. The AIM program illustrated the effectiveness of using physics-based and statistical models to guide more rigorous experimentation. Researchers in DSO's Prognosis program demonstrated how to quantify materials' nano-, micro-, and meso-features (i.e., feature sizes, crystallographic data, particle distribution morphology and composition) that enable constitutive models to define properties behavior and prediction. The D-3D program seeks to leverage the physics-based modeling lessons learned in the Prognosis program to develop quantitative analytical methods and models to predict metal alloy properties and performance in DoD structures.
In the spirit of AIM and Prognosis, D-3D will establish a functional protocol for characterizing, quantifying, and managing critical data sets of materials features in three dimensions for robust, efficient interaction with simulation and prediction capabilities in order to determine alloy performance in any platform in the computational domain.
|
