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Assessment of Pressure Estimation Methods Using Image Velocimetry Data: Insights from Unstructured Mesh Analysis

Author(s):
Miotto, Renato ; Zigunov, Fernando ; Wolf, William
Total Authors: 3
Document type: Journal article
Source: AIAA AVIATION FORUM AND ASCEND 2024; v. N/A, p. 13-pg., 2024-01-01.
Abstract

We perform an assessment of pressure field reconstruction techniques for image velocimetry data. Three techniques are examined: a matrix omnidirectional integration method (OS-MODI), a Green's function integral approach (GFI) and a novel neural-network approach (NN). While the OS-MODI excels in noise-free conditions and structured meshes, the NN method, proposed in this study, offers superior performance in noisy environments, besides being mesh-free. For unstructured mesh analyses, challenges with ill-conditioned cells prompt sophisticated mesh generation strategies. Moreover, a simplistic application of the constant midpoint rule to compute the integrals of the boundary elements within the GFI method leads to issues with singularity. Despite obstacles, the OS-MODI and GFI show promise, with NN emerging as a robust solution for meshless noisy data. (AU)

FAPESP's process: 13/08293-7 - CCES - Center for Computational Engineering and Sciences
Grantee:Munir Salomao Skaf
Support Opportunities: Research Grants - Research, Innovation and Dissemination Centers - RIDC
FAPESP's process: 22/09196-4 - Improving the understanding of unsteady aerodynamic flows via high-fidelity simulations, analytical modeling and deep learning techniques
Grantee:Renato Fuzaro Miotto
Support Opportunities: Scholarships in Brazil - Post-Doctoral
FAPESP's process: 21/06448-0 - High-fidelity numerical simulations applied in unsteady aerodynamics, turbulence and aeroacoustics
Grantee:William Roberto Wolf
Support Opportunities: Research Grants - Young Investigators Grants - Phase 2
FAPESP's process: 23/13431-1 - Analysis of unsteady fluid flows through flow imaging and neural implicit functions
Grantee:Renato Fuzaro Miotto
Support Opportunities: Scholarships abroad - Research Internship - Post-doctor