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Fluid Dynamics for Virtual Molecules: An Engineering Guide to the Principles & Assumptions Underpinning Turbulence Modelling. Part 3: Data-Driven Techniques

Yang, Xiang and Knopp, Tobias and Cinnella, Paola and Pan, Shaowu and Coombes, George and Taylor, Nigel (2026) Fluid Dynamics for Virtual Molecules: An Engineering Guide to the Principles & Assumptions Underpinning Turbulence Modelling. Part 3: Data-Driven Techniques. In: AIAA Aviation 2026 Forum. AIAA Aviation 2026 Forum, 2026-06-12 - 2026-06-16, San Diego, CA, USA.

Full text not available from this repository.

Official URL: https://aviation.aiaa.org/

Abstract

This paper provides an overview of the presentation materials prepared for the AIAA AVIATION 2026 Special Session "Meet the Turbulence Modellers III", organized under the auspices of the Integrated Collaborative Experimentation (ICE) Technical Activity Group 1 (TAG-1). The session, held on June 09, 2026, sought to create a common conceptual framework between turbulence measurers and turbulence modellers in support of advancing verification and validation (V&V) for computational fluid dynamics (CFD). The accompanying slides, titled Fluid Dynamics for Virtual Molecules: An Engineering Guide to the Principles and Assumptions Underpinning Turbulence Modelling (Part II: Data-Driven-Techniques), present an accessible narrative of the foundations and limitations of data-driven techniques for Reynolds-averaged Navier–Stokes (RANS) models. This paper summarizes those materials, providing an overview, with the goal of helping engineers and researchers outside the CFD community understand the conceptual basis and scope of modern turbulence models.

Item URL in elib:https://elib.dlr.de/225592/
Document Type:Conference or Workshop Item (Speech)
Title:Fluid Dynamics for Virtual Molecules: An Engineering Guide to the Principles & Assumptions Underpinning Turbulence Modelling. Part 3: Data-Driven Techniques
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Yang, XiangPennState Univ, USAUNSPECIFIEDUNSPECIFIED
Knopp, TobiasTobias.Knopp (at) dlr.dehttps://orcid.org/0000-0002-3161-5353UNSPECIFIED
Cinnella, PaolaSorbonne Univ. Paris, FranceUNSPECIFIEDUNSPECIFIED
Pan, ShaowuRensselaer Polytechnic Institute, USAUNSPECIFIEDUNSPECIFIED
Coombes, GeorgeMBDA UK, UKUNSPECIFIEDUNSPECIFIED
Taylor, NigelMBDA UK, UKUNSPECIFIEDUNSPECIFIED
Date:9 June 2026
Journal or Publication Title:AIAA Aviation 2026 Forum
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Editors:
EditorsEmailEditor's ORCID iDORCID Put Code
UNSPECIFIEDAIAAUNSPECIFIEDUNSPECIFIED
Status:Published
Keywords:data-driven techniques; RANS modeling
Event Title:AIAA Aviation 2026 Forum
Event Location:San Diego, CA, USA
Event Type:international Conference
Event Start Date:12 June 2026
Event End Date:16 June 2026
Organizer:AIAA
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Aeronautics
HGF - Program Themes:Efficient Vehicle
DLR - Research area:Aeronautics
DLR - Program:L EV - Efficient Vehicle
DLR - Research theme (Project):L - Digital Technologies
Location: Göttingen
Institutes and Institutions:Institute for Aerodynamics and Flow Technology > CASE, GO
Deposited By: Knopp, Dr.rer.nat. Tobias
Deposited On:21 Jul 2026 16:49
Last Modified:21 Jul 2026 16:49

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