Center of Excellence in Assimilation of Flow Features in Compressible Reacting Flows
Abstract
Emerging hypersonic aerodynamic andpropulsion systems operate in extreme regimes and open new physics interactions that are not observed in other flow conditions. Experimental measurements in these regimes are notoriously difficult to perform, often involve complex observation kernels, include uncertainty-noise, and can be limited in terms of spatio-temporal resolution. Of particular interest are measurements of features that are unique to these flows, including flame fronts and strong steady and unsteady shocks that interact with thin boundary layers. High-fidelity simulations aresimilarly challenging to perform, they must contend with the challenge of prescribing physical and accurate initial-boundary conditions, and they often suffer from large model uncertainties in these extreme regimes where new physics emerge and conventional models are not applicable. Progress is possible by exploiting the complementarity of experimental measurements of features and high-fidelity simulations using data assimilation (DA) techniques. The Center will test the state-of-the-art DA tools using two target applications in order to guide the fundamental research efforts. These applications are flowover an axi-symmetric article featuring shock-boundary-layer interaction and separation, and a rotating detonation engine configuration. The performance of existing DA tools will then motivate a bottom-up approach that starts by deriving physics-based observation kernels for observable features, evaluating the information content that can be extracted from each measurement, developing filters and smoothers that are specifically designed for these extreme regimes, and developing data-driven and learning approaches for the interpretation and incorporation of the measurements. This effort is anticipated to yield new knowledge, mathematics, and algorithms for the assimilation of flow features from extreme, compressible, reacting-flow regimes in high-fidelity simulations.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Feb 06, 2025
- Source ID
- FA95502510011
Entities
People
- Tamer A. Zaki
Organizations
- Air Force Office of Scientific Research
- Johns Hopkins University
- United States Air Force