Automatic optimizer vs human optimizer for low-order jet noise modelling

Yury M. Korolev, Sergey A. Karabasov, Vassili V. Toropov

Research output: Chapter or section in a book/report/conference proceedingChapter in a published conference proceeding

Abstract

An automaitic optimization technique has been applied for solving the inverse problem in order to determine seven calibratioin parameters of a simple fast-turn-around-time RANS-based acoustic model based on the Goldstein generalized acoustic analogy to predict jet mixing noise from axi-symmetric nozzles. Examples of sound spectra predictions obtained for single and dual-stream jets corresponding to the NASA SHJAR jet noise database are provided and discussed.

Original languageEnglish
Title of host publication21st AIAA/CEAS Aeroacoustics Conference
Place of PublicationU. S. A.
PublisherAmerican Institute of Aeronautics and Astronautics Inc.
ISBN (Print)9781624103674
DOIs
Publication statusPublished - 18 Jun 2015
Event21st AIAA/CEAS Aeroacoustics Conference, 2015 - Dallas, USA United States
Duration: 22 Jun 201526 Jun 2015

Publication series

Name21st AIAA/CEAS Aeroacoustics Conference

Conference

Conference21st AIAA/CEAS Aeroacoustics Conference, 2015
Country/TerritoryUSA United States
CityDallas
Period22/06/1526/06/15

ASJC Scopus subject areas

  • Aerospace Engineering
  • Electrical and Electronic Engineering

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