Exploring a Novel Adaptive Mesh Refinement Strategy for Transonic Flows

ABSTRACT A novel Adaptive Mesh Refinement (AMR) strategy is developed and evaluated for transonic high‐speed flows using Ansys Fluent. The algorithm for marking cells for adaptation is designed to systematically reduce local truncation errors based on the curvature of the primitive vector field. The algorithm for marking cells for adaptation is described in sufficient detail to be portable to other flow solvers that offer AMR. The relative importance of each primitive vector variable within the scheme is evaluated using both equal‐weighting and optimized‐weighting approaches. Variations of the proposed algorithm that use flow gradients or limit adaptation regionally are also investigated. The negative consequences of adaptation without enforcing the original smooth surface shape are demonstrated. An equal‐weighted, primitive vector curvature‐based strategy is shown to typically produce near‐grid‐independent results with an order of magnitude less grid required than classic grid refinement.

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Publication Details

Journal
International Journal for Numerical Methods in Engineering
Published
2025-12-19
DOI
https://doi.org/10.1002/nme.70226
Citations
1
Primary Topic
Computational Fluid Dynamics and Aerodynamics
Type
article
Field-Weighted Citation Impact
1.33
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article

Exploring a Novel Adaptive Mesh Refinement Strategy for Transonic Flows

Arjun J. Vedam, William Engblom
1 citations
International Journal for Numerical Methods in Engineering
Computational Fluid Dynamics and Aerodynamics
1.33
article

Exploring a Novel Adaptive Mesh Refinement Strategy for Transonic Flows

Arjun J. Vedam, William Engblom
article en
1 citations

Abstract

ABSTRACT A novel Adaptive Mesh Refinement (AMR) strategy is developed and evaluated for transonic high‐speed flows using Ansys Fluent. The algorithm for marking cells for adaptation is designed to systematically reduce local truncation errors based on the curvature of the primitive vector field. The algorithm for marking cells for adaptation is described in sufficient detail to be portable to other flow solvers that offer AMR. The relative importance of each primitive vector variable within the scheme is evaluated using both equal‐weighting and optimized‐weighting approaches. Variations of the proposed algorithm that use flow gradients or limit adaptation regionally are also investigated. The negative consequences of adaptation without enforcing the original smooth surface shape are demonstrated. An equal‐weighted, primitive vector curvature‐based strategy is shown to typically produce near‐grid‐independent results with an order of magnitude less grid required than classic grid refinement.

International Journal for Numerical Methods in EngineeringVol. 126(24)
Embry–Riddle Aeronautical University (US)
Openalex Percentile: Top 16%
Computational Fluid Dynamics and Aerodynamics
1.33
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Exploring a Novel Adaptive Mesh Refinement Strategy for Transonic Flows — Arjun J. Vedam, William Engblom · International Journal for Numerical Methods in Engineering (2025) | TGRS Research Map | TGRS