A component-based reduced-order modeling framework decomposes multi-injector rocket combustors into trainable sub-models that couple to predict combustion dynamics across flow and geometry changes.
Low-dimensional models for flows with density fluctuations
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Temperature constraints eliminate spurious local oscillations and substantially improve stability and prediction accuracy of reduced-order models in reacting flows.
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Component-Based Reduced-Order Modeling Framework for Rocket Combustion Dynamics in Multi-Injector Configurations
A component-based reduced-order modeling framework decomposes multi-injector rocket combustors into trainable sub-models that couple to predict combustion dynamics across flow and geometry changes.
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Investigations and Improvement of Robustness of Reduced-Order Models of Reacting Flow
Temperature constraints eliminate spurious local oscillations and substantially improve stability and prediction accuracy of reduced-order models in reacting flows.