Project Grant 2533443

Award Date 1/1/25
Completion Date 12/31/27
Dollars Obligated $498K
Federal Grant Program
47.049
Assistance Type
Project Grant
Place of Performance
Blacksburg, VA, USA
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This Project Grant award of $498,290 from the National Science Foundation's (CFDA 47.049 - Mathematical and Physical Sciences) program supports a collaborative research project led by Virginia Polytechnic Institute & State University (Virginia Tech) to develop advanced modeling and optimization methods for rotating detonation combustors (RDCs) coupled with highly diffusive mixers. The key products and services to be delivered under this award include:

  1. A gradient-enhanced Bayesian deep Gaussian process surrogate model to provide flexible, accurate, and uncertainty-quantified predictions of the complex RDC-mixer system performance.

  2. A computationally efficient digital twin of the RDC-mixer that can accurately capture steady and unsteady flow dynamics, enabling faster design optimization.

  3. A calibrated Bayesian optimization framework that integrates the digital twin and physical experiments to sequentially optimize the RDC-mixer design for improved fuel efficiency.

The project aims to advance scientific understanding and modeling capabilities for these innovative energy systems, which have broad applications in power generation, propulsion, and industrial mixing processes. The award period runs from January 1, 2025 to December 31, 2027.

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