A Database for Reduced-Complexity Modeling of Fluid Flows
Aaron Towne, Scott T. M. Dawson, Guillaume A. Br\`es, Adri\'an, Lozano-Dur\'an, Theresa Saxton-Fox, Aadhy Parthasarathy, Anya R. Jones, Hulya, Biler, Chi-An Yeh, Het D. Patel, Kunihiko Taira

TL;DR
This paper introduces a comprehensive, publicly accessible database of high-quality fluid flow data designed to support the development, evaluation, and comparison of reduced-complexity models in fluid mechanics, encompassing diverse flow scenarios.
Contribution
The paper provides a new, extensive database of flow data covering various flow types, with detailed descriptions and examples, facilitating model development and benchmarking in fluid mechanics.
Findings
Database includes six diverse flow datasets
Data accessible via browser and Globus
Supports development and evaluation of reduced-complexity models
Abstract
We present a publicly accessible database designed to aid in the conception, training, demonstration, evaluation, and comparison of reduced-complexity models for fluid mechanics. Availability of high-quality flow data is essential for all of these aspects of model development for both data-driven and physics-based methods. The database contains time-resolved data for six distinct datasets: a large eddy simulation of a turbulent jet, direct numerical simulations of a zero-pressure-gradient turbulent boundary layer, particle-image-velocimetry measurements for the same boundary layer at several Reynolds numbers, direct numerical simulations of laminar stationary and pitching flat-plate airfoils, particle-image-velocimetry and force measurements of an airfoil encountering a gust, and a large eddy simulation of the separated, turbulent flow over an airfoil. These six cases span several key…
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
TopicsModel Reduction and Neural Networks · Fluid Dynamics and Turbulent Flows · Lattice Boltzmann Simulation Studies
