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

2020/09/18 by Gianmarco Mengaldo, Mengaldo, Gianmarco, David Moxey +17 · 3 citations
Computer Science · Engineering · #Aerodynamics and Fluid Dynamics Research #Aerospace engineering #Algorithm #Automotive industry #Computational Engineering #Computational Fluid Dynamics and Aerodynamics #Computational science #Computer science #Engineering #FOS: Computer and information sciences #Finance #Finite element method #Fluid Dynamics and Turbulent Flows #High fidelity #Industrial engineering #Key (lock) #Krylov subspace #Large eddy simulation #Lattice Boltzmann Simulation Studies #Physics #Solver #Systems engineering #and Science (cs.CE) #cs.CE

paper · pdf · doi:10.48550/arxiv.2009.10178

published in arXiv (Cornell University) (Cornell University)

openalex publication_date 2020/09/18 · arxiv created 2021/05/31 · arxiv updated 2021/06/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

We present a successful deployment of high-fidelity Large-Eddy Simulation\n(LES) technologies based on spectral/hp element methods to industrial flow\nproblems, which are characterized by high Reynolds numbers and complex\ngeometries. In particular, we describe the numerical methods, software\ndevelopment and steps that were required to perform the implicit LES of a real\nautomotive car, namely the Elemental Rp1 model. To the best of the authors'\nknowledge, this simulation represents the first fifth-order accurate transient\nLES of an entire real car geometry. Moreover, this constitutes a key milestone\ntowards considerably expanding the computational design envelope currently\nallowed in industry, where steady-state modelling remains the standard. To this\nend, a number of novel developments had to be made in order to overcome\nobstacles in mesh generation and solver technology to achieve this simulation,\nwhich we detail in this paper. The main objective is to present to the\nindustrial and applied mathematics community, a viable pathway to translate\nacademic developments into industrial tools, that can substantially advance the\nanalysis and design capabilities of high-end engineering stakeholders. The\nnovel developments and results were achieved using the academic-driven\nopen-source framework Nektar++.\n

Citations

• High-order splitting methods for the incompressible Navier-Stokes equations
• A Skew-Symmetric Discontinuous Galerkin Spectral Element Discretization and Its Relation to SBP-SAT Finite Difference Methods
• A Fast and High Quality Multilevel Scheme for Partitioning Irregular Graphs
• Multidimensional binary search trees used for associative searching

Cited by

• A geometrically informed algebraic multigrid preconditioned iterative approach for solving high-order finite element systems
• Unified interface flux evaluation in a general discontinuous Galerkin spectral element framework
• Dynamical errors in machine learning forecasts

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