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Main Authors: Dornier, Hugo, Maître, Olivier P Le, Congedo, Pietro M, Din, Itham Salah El, Marty, Julien, Bourasseau, Sébastien
Format: Preprint
Published: 2024
Subjects:
Online Access:https://arxiv.org/abs/2412.01274
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author Dornier, Hugo
Maître, Olivier P Le
Congedo, Pietro M
Din, Itham Salah El
Marty, Julien
Bourasseau, Sébastien
author_facet Dornier, Hugo
Maître, Olivier P Le
Congedo, Pietro M
Din, Itham Salah El
Marty, Julien
Bourasseau, Sébastien
contents When numerically solving partial differential equations, for a given problem and operating condition, adaptive mesh refinement (AMR) has proven its efficiency to automatically build a discretization achieving a prescribed accuracy at low cost. However, with continuously varying operating conditions, such as those encountered in uncertainty quantification, adapting a mesh for each evaluated condition becomes complex and computationally expensive. To enable more effective error and cost control, this work introduces a novel approach to mesh adaptation. The method consists in building a unique adapted mesh that aims at minimizing the average error for a continuous set operating conditions. In the proposed implementation, this unique mesh is built iteratively, informed by an estimate of the local average error over a reduced set of sample conditions. The effectiveness and performance of the method are demonstrated on a one-dimensional Burgers equation and a two-dimensional Euler scramjet shocked flow configurations.
format Preprint
id arxiv_https___arxiv_org_abs_2412_01274
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Mean Mesh Adaptation for Efficient CFD Simulations with Operating Conditions Variability
Dornier, Hugo
Maître, Olivier P Le
Congedo, Pietro M
Din, Itham Salah El
Marty, Julien
Bourasseau, Sébastien
Fluid Dynamics
Computational Physics
When numerically solving partial differential equations, for a given problem and operating condition, adaptive mesh refinement (AMR) has proven its efficiency to automatically build a discretization achieving a prescribed accuracy at low cost. However, with continuously varying operating conditions, such as those encountered in uncertainty quantification, adapting a mesh for each evaluated condition becomes complex and computationally expensive. To enable more effective error and cost control, this work introduces a novel approach to mesh adaptation. The method consists in building a unique adapted mesh that aims at minimizing the average error for a continuous set operating conditions. In the proposed implementation, this unique mesh is built iteratively, informed by an estimate of the local average error over a reduced set of sample conditions. The effectiveness and performance of the method are demonstrated on a one-dimensional Burgers equation and a two-dimensional Euler scramjet shocked flow configurations.
title Mean Mesh Adaptation for Efficient CFD Simulations with Operating Conditions Variability
topic Fluid Dynamics
Computational Physics
url https://arxiv.org/abs/2412.01274