PG-EAM - Programa de Pós-Graduação em Engenharia Aeronáutica e Mecânica
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Artigo 2021

Industry-Relevant Implicit Large-Eddy Simulation of a High-Performance Road Car via Spectral/hp Element Methods

Autores

Mengaldo, Gianmarco
Moxey, David
Turner, Michael
Jassim, Ayad
Taylor, Mark
Peiró, Joaquim
Sherwin, Spencer

SIAM Review , vol. 63 , no. 4 , pp. 723-755

ISSN: 00361445

36
Citações
8
Autores

Resumo

\bigcirc c 2021 Society for Industrial and Applied MathematicsWe present a successful deployment of high-fidelity large-eddy simulation (LES) technologies based on spectral/hp element methods to industrial flow problems, which are characterized by high Reynolds numbers and complex geometries. In particular, we describe the numerical methods, software development, and steps that were required to perform the implicit LES of a real automotive car, namely, the Elemental Rp1 model. To the best of the authors' knowledge, this simulation represents the first high-order accurate transient LES of an entire real car geometry. Moreover, it constitutes a key milestone toward considerably expanding the computational design envelope currently allowed in industry, where steady-state modeling remains the standard. A number of novel developments had to be made in order to overcome obstacles in mesh generation and solver technology to achieve this simulation, which we detail in this paper. The main objective is to present to the industrial and applied mathematics community a viable pathway to translating academic developments into industrial tools that can substantially advance the analysis and design capabilities of high-end engineering stakeholders. The novel developments and results were achieved using the academic-driven open-source framework Nektar++.

Palavras-chave

automotive design CAD integration high Reynolds number flows high-fidelity simulations high-order CFD high-order mesh generation implicit LES industrial applications spectral/hp element methods underresolved DNS

Theoretical Computer Science (MATH) Computational Mathematics (MATH) Applied Mathematics (MATH)
: Scopus
Última atualização: 2026-06-25
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