An UQ-ready finite element solver for a two-dimensional RANS model of free plane jets
Umberto Villa, Alexandre Noll Marques

TL;DR
This paper introduces a differentiable finite element solver for 2D RANS equations with a k-epsilon turbulence model, enabling scalable uncertainty quantification by providing forward, adjoint, and higher derivatives.
Contribution
The paper develops a UQ-ready finite element solver for 2D RANS models that is smoothly differentiable, addressing limitations of existing software that use non-differentiable perturbations.
Findings
Provides a differentiable solver suitable for UQ methods
Enables computation of higher-order derivatives for RANS models
Facilitates scalable Hessian-based uncertainty quantification
Abstract
Numerical solution of the system of partial differential equations arising from the Reynolds-Averaged Navier-Stokes (RANS) equations with turbulence model presents several challenges due to the advection dominated nature of the problem and the presence of highly nonlinear reaction terms. State-of-the-art software for the numerical solution of the RANS equations address these challenges by introducing non-differentiable perturbations in the model to ensure numerical stability. However, this approach leads to difficulties in the formulation of the higher-order forward/adjoint problems, which are needed for scalable Hessian-based uncertainty quantification (UQ) methods. In this note, we present the construction of a UQ-ready flow solver, i.e., one that is smoothly differentiable and provides not only forward solver capabilities but also adjoint and higher derivatives…
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Taxonomy
TopicsProbabilistic and Robust Engineering Design · Model Reduction and Neural Networks · Computational Fluid Dynamics and Aerodynamics
