Search Results for author: Ali Girayhan Özbay

Found 3 papers, 2 papers with code

FR3D: Three-dimensional Flow Reconstruction and Force Estimation for Unsteady Flows Around Extruded Bluff Bodies via Conformal Mapping Aided Convolutional Autoencoders

no code implementations • 3 Feb 2023 • Ali Girayhan Özbay, Sylvain Laizet

In many practical fluid dynamics experiments, measuring variables such as velocity and pressure is possible only at a limited number of sensor locations, \textcolor{black}{for a few two-dimensional planes, or for a small 3D domain in the flow}.

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Deep learning fluid flow reconstruction around arbitrary two-dimensional objects from sparse sensors using conformal mappings

1 code implementation • 8 Feb 2022 • Ali Girayhan Özbay, Sylvain Laizet

Different NNs for different sensor setups (where information about the flow is collected) are trained with high-fidelity simulation data for a Reynolds number equal to approximately $300$ for 64 objects randomly generated using Bezier curves.

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Poisson CNN: Convolutional neural networks for the solution of the Poisson equation on a Cartesian mesh

1 code implementation • 18 Oct 2019 • Ali Girayhan Özbay, Arash Hamzehloo, Sylvain Laizet, Panagiotis Tzirakis, Georgios Rizos, Björn Schuller

The Poisson equation is commonly encountered in engineering, for instance in computational fluid dynamics (CFD) where it is needed to compute corrections to the pressure field to ensure the incompressibility of the velocity field.

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