Shear-Layer Perturbation Responses from Time-Resolved Schlieren Data
Spencer L. Stahl, Chandan Kumar, Datta V. Gaitonde

TL;DR
This paper introduces a combined physics-based and data-driven approach to extract and analyze shear-layer perturbation responses from time-resolved schlieren videos, revealing detailed acoustic phenomena and receptivity characteristics.
Contribution
It presents a novel method integrating momentum potential theory and Dynamic Mode Decomposition to directly quantify shear-layer acoustic responses from schlieren data.
Findings
Identified acoustic structures and tones hidden in schlieren images.
Quantified growth rates of acoustic phenomena using a learned linear model.
Receptivity analysis shows higher sensitivity to disturbances in the outer boundary layer of the supersonic stream.
Abstract
A novel combination of physics-based and data-driven post-processing techniques is proposed to extract acoustic-related shear-layer perturbation responses directly from spatio-temporally resolved schlieren video. The physics-based component is derived from a momentum potential theory extension that extracts irrotational (acoustic and thermal) information from density gradients embedded in schlieren pixel intensities. For the unheated shear layer, the method spotlights acoustic structures and tones otherwise hidden. The filtered data is then subjected to a data-driven Dynamic Mode Decomposition Reduced Order Model (DMD-ROM), which provides the response to forced perturbations. This method applies a learned linear model to isolate and quantify growth rates of acoustic phenomena suited for efficient parametric studies. A shear-layer comprised of two streams at Mach 2.461 and 0.175,…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsStructural Health Monitoring Techniques · Landslides and related hazards · Optical measurement and interference techniques
