Publication detail

Sensitivity analysis of source region size on results of Stochastic Noise Generation and Radiation model

NIEDOBA, P. BAJKO, J. JÍCHA, M. ČERMÁK, L.

Original Title

Sensitivity analysis of source region size on results of Stochastic Noise Generation and Radiation model

English Title

Sensitivity analysis of source region size on results of Stochastic Noise Generation and Radiation model

Type

conference paper

Language

en

Original Abstract

The paper deals with the Stochastic Noise Generation and Radiation (SNGR) model based on synthesizing of turbulent velocity components from results of a Reynolds Averaged Navier-Stokes (RANS) simulation. The turbulent velocity components are then used for computation of aero-acoustic sources representing the right-hand side of linerized Euler equations (LEE) describing the sound propagation. Primarily, the paper is aimed on testing the sensitivity of SNGR model solution on a source region size. Specifically, an acoustic intensity was chosen as a comparative variable computed by solving LEE via meshfree Finite Point Method (FPM). The size of source region has a direct impact on time and memory requirements during the stochastic reconstruction. As a test case, we chose a 2D free plane jet with height 2b0 = 30mm and M = 0.1. For obtaining the averaged flow results, the RANS simulation with standard k-e turbulence model was performed. Based on this averaged results, the turbulent velocity field is obtained by the synthesis of a finite sum of random Fourier modes.

English abstract

The paper deals with the Stochastic Noise Generation and Radiation (SNGR) model based on synthesizing of turbulent velocity components from results of a Reynolds Averaged Navier-Stokes (RANS) simulation. The turbulent velocity components are then used for computation of aero-acoustic sources representing the right-hand side of linerized Euler equations (LEE) describing the sound propagation. Primarily, the paper is aimed on testing the sensitivity of SNGR model solution on a source region size. Specifically, an acoustic intensity was chosen as a comparative variable computed by solving LEE via meshfree Finite Point Method (FPM). The size of source region has a direct impact on time and memory requirements during the stochastic reconstruction. As a test case, we chose a 2D free plane jet with height 2b0 = 30mm and M = 0.1. For obtaining the averaged flow results, the RANS simulation with standard k-e turbulence model was performed. Based on this averaged results, the turbulent velocity field is obtained by the synthesis of a finite sum of random Fourier modes.

Keywords

Stochastic Noise Generation and Radiation model, free plane jet, Finite Point Method, Fourier modes

RIV year

2014

Released

16.11.2014

ISBN

978-0-909882-04-4

Book

Proceedings of 43rd International Congress on Noise Control Engineering

Pages from

1

Pages to

7

Pages count

7

BibTex


@inproceedings{BUT111712,
  author="Pavel {Niedoba} and Jaroslav {Bajko} and Miroslav {Jícha} and Libor {Čermák}",
  title="Sensitivity analysis of source region size on results of Stochastic Noise Generation and Radiation model",
  annote="The paper deals with the Stochastic Noise Generation and Radiation (SNGR) model based on synthesizing
of turbulent velocity components from results of a Reynolds Averaged Navier-Stokes (RANS) simulation.
The turbulent velocity components are then used for computation of aero-acoustic sources representing the
right-hand side of linerized Euler equations (LEE) describing the sound propagation. Primarily, the paper is
aimed on testing the sensitivity of SNGR model solution on a source region size. Specifically, an acoustic
intensity was chosen as a comparative variable computed by solving LEE via meshfree Finite Point Method
(FPM). The size of source region has a direct impact on time and memory requirements during the stochastic
reconstruction. As a test case, we chose a 2D free plane jet with height 2b0 = 30mm and M = 0.1. For
obtaining the averaged flow results, the RANS simulation with standard k-e turbulence model was performed.
Based on this averaged results, the turbulent velocity field is obtained by the synthesis of a finite sum of
random Fourier modes.",
  booktitle="Proceedings of 43rd International Congress on Noise Control Engineering",
  chapter="111712",
  howpublished="online",
  year="2014",
  month="november",
  pages="1--7",
  type="conference paper"
}