7 papers
Ultra-high-speed chemiluminescence tomography of spinning-mode detonation waves
Amit K. Singh, Mateo Gomez, Kevin Y. Cho +2
This work presents a chemiluminescence tomography campaign to reconstruct time-resolved, three-dimensional reacting structures in detonation waves propagating through ethylene-base…
Degree-of-freedom and optimization-dynamic effects on the observability of Kuramoto-Sivashinsky systems
Noah B. Frank, Joshua L. Pughe-Sanford, Samuel J. Grauer
Simulations of chaotic systems can only produce high-fidelity trajectories if the initial and boundary conditions are well specified. When these conditions are unknown but measurem…
On the joint estimation of flow fields and particle properties from Lagrangian data
Ke Zhou, Samuel J. Grauer
We numerically investigate the feasibility and limits of jointly estimating flow fields and unknown particle properties (e.g., position, size, and density) from Lagrangian particle…
Neural inference of fluid-structure interactions from sparse off-body measurements
Rui Tang, Ke Zhou, Jifu Tan +1
We report a novel physics-informed neural framework for reconstructing unsteady fluid-structure interactions (FSI) from sparse, single-phase observations of the flow. Our approach…
Open-source BOS tomography dataset of high-speed flow over a flight body
Joseph P. Molnar, Amit K. Singh, Christopher J. Clifford +4
We present an open-source background-oriented schlieren dataset with 70 views of high-speed flow over a flight body. Sample analyses are performed using a neural-implicit reconstru…
Neural optical flow for planar and stereo PIV
Andrew I. Masker, Ke Zhou, Joseph P. Molnar +1
Neural optical flow (NOF) offers improved accuracy and robustness over existing OF methods for particle image velocimetry (PIV). Unlike other OF techniques, which rely on discrete…