Zonal Hybrid Computational Aeroacoustics Simulation of Trailing Edge Noise Using a High-Order Discontinuous Galerkin Method

Kempf, Daniel; Munz, Claus‐Dieter

doi:10.2514/6.2022-3021

Cited by 2 publications

(1 citation statement)

References 15 publications

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“…To achieve this, there have been developed many approaches, such as the synthetic eddy method [2,3] or the recycling-rescaling approach [4,5] which allow for significantly smaller domains. A practical example is the simulation of acoustic noise at the trailing edge of an airfoil where a detailed simulation of only a part of the airfoil is needed [6]. One similarity of the applications just described is their dependency on boundary layer properties and therefore reference data from literature.…”

Section: Introductionmentioning

confidence: 99%

A Time-Accurate Inflow Coupling for Zonal LES

Blind¹,

Kleinert²,

Beck³

et al. 2023

Preprint

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Generating turbulent inflow data is a challenging task in zonal Large Eddy Simulation (zLES) and often relies on predefined DNS data to generate synthetic turbulence with the correct statistics. The more accurate, but more involved alternative is to use instantaneous data from a precursor simulation. Using instantaneous data as an inflow condition allows to conduct high fidelity simulations of subdomains of e.g. an aircraft including all non-stationary or rare events. In this paper we introduce a tool-chain that is capable of interchanging highly resolved spatial and temporal data between flow solvers with different discretization schemes.To accomplish this, we use interpolation algorithms suitable for scattered data in order to interpolate spatially. In time we use one-dimensional interpolation schemes for each degree of freedom. The results show that we can get stable simulations that map all flow features from the source data into a new target domain. Thus, the coupling is capable of mapping arbitrary data distributions and formats into a new domain while also recovering and conserving turbulent structures and scales. The necessary time and space resolution requirements can be defined knowing the resolution requirements of the used numerical scheme in the target domain.

show abstract

Section: Introductionmentioning

confidence: 99%

A Time-Accurate Inflow Coupling for Zonal LES

Blind¹,

Kleinert²,

Beck³

et al. 2023

Preprint

View full text Add to dashboard Cite

show abstract

A time-accurate inflow coupling for zonal LES

et al. 2023

View full text Add to dashboard Cite

Generating turbulent inflow data is a challenging task in zonal large eddy simulation (zLES) and often relies on predefined DNS data to generate synthetic turbulence with the correct statistics. The more accurate, but more involved alternative is to use instantaneous data from a precursor simulation. Using instantaneous data as an inflow condition allows to conduct high fidelity simulations of subdomains of, e.g. an aircraft including all non-stationary or rare events. In this paper, we introduce a toolchain that is capable of interchanging highly resolved spatial and temporal data between flow solvers with different discretization schemes. To accomplish this, we use interpolation algorithms suitable for scattered data in order to interpolate spatially. In time, we use one-dimensional interpolation schemes for each degree of freedom. The results show that we can get stable simulations that map all flow features from the source data into a new target domain. Thus, the coupling is capable of mapping arbitrary data distributions and formats into a new domain while also recovering and conserving turbulent structures and scales. The necessary time and space resolution requirements can be defined knowing the resolution requirements of the used numerical scheme in the target domain.

show abstract

Zonal Hybrid Computational Aeroacoustics Simulation of Trailing Edge Noise Using a High-Order Discontinuous Galerkin Method

Cited by 2 publications

References 15 publications

A Time-Accurate Inflow Coupling for Zonal LES

A Time-Accurate Inflow Coupling for Zonal LES

A time-accurate inflow coupling for zonal LES

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