Petascale large eddy simulation of jet engine noise based on the truncated SPIKE algorithm

Situ, Yingchong; Martha, Chandra Sekhar; Louis, Matthew E.; Li, Zhiyuan; Sameh, Ahmed; Blaisdell, Gregory A.; Lyrintzis, Anastasios S.

doi:10.1016/j.parco.2014.07.002

Cited by 11 publications

(3 citation statements)

References 44 publications

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“…Their approach scales well with up to 8000 processors for structured meshes. Situ et al showed a 3D LES implementation using a nonoverlapping truncated SPIKE algorithm and achieved a strong‐scaling parallel efficiency of 74% at 91 125 processors with respect to a baseline of 2744 processors. Singh et al provided an assessment of different parallel preconditioners for numerical solution of the pressure Poisson equation arising in LES of turbulent incompressible flows.…”

Section: Introductionmentioning

confidence: 99%

A parallel implicit domain decomposition algorithm for the large eddy simulation of incompressible turbulent flows on 3D unstructured meshes

Liao

Chen

Yan

et al. 2018

Numerical Methods in Fluids

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Summary We present a parallel fully implicit algorithm for the large eddy simulation (LES) of incompressible turbulent flows on unstructured meshes in three dimensions. The LES governing equations are discretized by a stabilized Galerkin finite element method in space and an implicit second‐order backward differentiation scheme in time. To efficiently solve the resulting large nonlinear systems, we present a highly parallel Newton‐Krylov‐Schwarz algorithm based on domain decomposition techniques. Analytic Jacobian is applied in order to obtain the best achievable performance. Two benchmark problems of lid‐driven cavity and flow passing a square cylinder are employed to validate the proposed algorithm. We then apply the algorithm to the LES of turbulent flows passing a full‐size high‐speed train with realistic geometry and operating conditions. The numerical results show that the algorithm is both accurate and efficient and exhibits a good scalability and parallel efficiency with tens of millions of degrees of freedom on a computer with up to 4096 processors. To understand the numerical behavior of the proposed fully implicit scheme, we study several important issues, including the choices of linear solvers, the overlapping size of the subdomains, and, especially, the accuracy of the Jacobian matrix. The results show that an exact Jacobian is necessary for the efficiency and the robustness of the proposed LES solver.

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Section: Introductionmentioning

confidence: 99%

A parallel implicit domain decomposition algorithm for the large eddy simulation of incompressible turbulent flows on 3D unstructured meshes

Liao

Chen

Yan

et al. 2018

Numerical Methods in Fluids

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show abstract

“…A high-order structured LES code has been developed by researchers at Purdue University to analyze some of the noise reduction designs described above. The code has an improved computational speed 41 thanks to the use of a SPIKE algorithm by Polizzi and Sameh 42 for parallelization. It can handle multiblock Cartesian and cylindrical grid topologies, including the nozzle region.…”

Section: Introductionmentioning

confidence: 99%

Noise reduction analysis of supersonic unheated jets with fluidic injection using large eddy simulations

Coderoni

Lyrintzis

Blaisdell

2018

International Journal of Aeroacoustics

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A set of large eddy simulations is used to perform a numerical analysis of fluidic injection as a tool for noise reduction. This technique, developed at the Pennsylvania State University, allows one to turn on and off the air injectors in order to reduce the noise during takeoff and landing without penalizing performance in other flight regimes. Numerical simulations are performed on a military-style nozzle based on the GE F400-series engines, with a design Mach number of 1.65, for overexpanded jet conditions. The numerical results are compared and validated with the outcome of experiments performed at the Pennsylvania State University. For the case chosen, the fluidic injection shows the potential of breaking down shock cells into smaller structures with different orientation and strength. This directly reduces the intensity of broadband shock associated noise, with a positive effect of reducing the overall sound pressure level by more than 1:5 dB along the direction of maximum sound propagation of the baseline case. The maximum noise reduction was found to be almost 3 dB at 55 on the azimuthal plane in between two lines of injectors.

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“…lations, see [10] . The SPIKE algorithm has been recently applied to large-eddy simulation in [11] .…”

Section: Introductionmentioning

confidence: 99%

A conservative overlap method for multi-block parallelization of compact finite-volume schemes

Capuano¹,

Mastellone

Angelis³

2017

Computers & Fluids

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Petascale large eddy simulation of jet engine noise based on the truncated SPIKE algorithm

Cited by 11 publications

References 44 publications

A parallel implicit domain decomposition algorithm for the large eddy simulation of incompressible turbulent flows on 3D unstructured meshes

A parallel implicit domain decomposition algorithm for the large eddy simulation of incompressible turbulent flows on 3D unstructured meshes

Noise reduction analysis of supersonic unheated jets with fluidic injection using large eddy simulations

A conservative overlap method for multi-block parallelization of compact finite-volume schemes

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