Award Data

High fidelity, large scale simulations of complex systems pose a very difficult situation to the scientist trying to understand the physical domain and characteristics of their system. Often, it is impossible to manually search through the data that can come out of these simulations, which may range from Gigabytes to Terabytes. Furthermore, it may be impossible to visualize the multi-dimensional i ...

Providing commanders with accurate, on-the-spot, clear, concise, usable information wins battles and saves lives. With incoming information from many heterogeneous sources, the focus has been primarily on determining what information to present, and visual ways of communicating the information. There has been less research on what makes information actionable, or on what additional communication c ...

Research is proposed for the development and implementation of state of the art, reduced order nonlinear aeroelastic models for multidisciplinary/multi-fidelity optimization problems. Highly efficient and accurate aeroelastic simulation tools will be constructed based upon the mathematical formalism of optimal prediction theory and a novel implementation of a filtered harmonic balance solution met ...

The opportunity identified here is to expand the capabilities of Multicontinuum Technology (MCT) for prediction of failure initiation in complex (hybrid) composites. A successful Phase 1 project will demonstrate good correlation of MCT variables with initial failure in composites with complex multiscale reinforcement architectures. A Phase 2 project would refine the predictive capabilities, embo ...

We propose a suite of nonlinear image processing algorithms derived from the analysis of the underlying diffusion geometry of a collection of hyperspectral images of interest. These tools enable the comparison of spatio-spectral features of hyperspectral images acquired under different conditions, for the purposes of target detection, change detection and anomaly assessment. This methodology also ...

A new physics-based simulation capability will be developed based on high-order discretizations in both space and time for application to practical engineering problems involving complex physical phenomena and complicated geometries. The goal is to develop a tool which can accurately handle multiphysics simulations, both in analysis mode, and for design optimization purposes. The approach will r ...