pith:JI4PR257
Effect of Turbulence-Closure Consistency on Airfoil Identification
Inconsistencies among turbulence closures produce up to 250 percent differences in airfoil shapes identified from wake velocity fields.
arxiv:2511.08341 v3 · 2025-11-11 · physics.flu-dyn
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Claims
inconsistencies among the models lead to markedly divergent shapes... up to a 250 percent difference among these sensitivities... turbulence-closure consistency is essential for reliable shape identification
That the wake velocity fields supplied to the inverse solver are free of measurement or discretization error and that the optimization procedure itself does not introduce additional model-dependent bias when comparing closures.
Turbulence model choice causes up to 250% differences in geometric sensitivities during airfoil shape identification from wake data, showing that closure consistency is required for reliable inverse results.
References
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| First computed | 2026-06-05T01:14:30.685730Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
4a38f8ebbfbe7fcddee578d44e575308385673e2cd7b52766e5976737e1b132b
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curl -sH 'Accept: application/ld+json' https://pith.science/pith/JI4PR257XZ743XXFPDKE4V2TBA \
| jq -c '.canonical_record' \
| python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
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Canonical record JSON
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