Investigations on Projection-Based Reduced Order Model Development for Rotating Detonation Engine
Ryan Camacho (1), Cheng Huang (1) ((1) University of Kansas,, Lawrence, KS)

TL;DR
This paper evaluates projection-based reduced-order models for rotating detonation engines, comparing static, nonlinear, and adaptive approaches to improve simulation efficiency and accuracy across different operating conditions.
Contribution
It introduces an adaptive model order reduction method that enhances predictive accuracy and captures transient dynamics with minimal offline training.
Findings
Nonlinear quadratic basis improves representation within training regime.
Adaptive ROM significantly enhances future state predictions.
Adaptive ROM captures initial transients effectively.
Abstract
The current study aims to evaluate and investigate the development of projection-based reduced-order models (ROMs) for efficient and accurate RDE simulations. Specifically, we focus on assessing the projection-based ROM construction utilizing three different approaches: the linear static basis, nonlinear quadratic basis, and an adaptive model order reduction (MOR) formulation. First, an ~\textit{a priori} analysis is performed to evaluate the effectiveness of the linear static and nonlinear quadratic bases in representing the detonation-wave dynamics. The~\textit{a priori} analysis reveals that compared to the linear basis, the nonlinear quadratic basis provides significantly improved representation of detonation-wave dynamics within the training regime. However, it exhibits limited capabilities in representing the dynamics beyond the training regime, either in the future state or under…
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Taxonomy
TopicsCombustion and Detonation Processes · Advanced Combustion Engine Technologies · Engineering Applied Research
