Stochastic transonic aerodynamics analysis

Xiaojing Wu, Weiwei Zhang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Uncertainty quantification is applied to compute its impact on the aerodynamic characteristics. In addition, the contribution of each uncertainty variable to aerodynamic characteristics need to be computed by the uncertainty sensitivity analysis. In this paper, the Sobol's analysis is used to uncertainty sensitivity analysis and a non-intrusive polynomial chaos method is used to uncertainty quantification and Sobol's analysis. By uncertainty quantification, we can learn that the flow characteristics of shock wave and boundary-layer separation is sensitive to the geometric uncertainty in transonic region, which is the main reason that transonic drag is sensitive to the geometric uncertainty. The sensitivity analysis shows that the model can be simplified by eliminate unimportant geometric modes for UQ. Moreover, we can learn which typical geometric modes is important to transonic aerodynamics.

Original languageEnglish
Title of host publication30th Congress of the International Council of the Aeronautical Sciences, ICAS 2016
PublisherInternational Council of the Aeronautical Sciences
ISBN (Electronic)9783932182853
StatePublished - 2016
Event30th Congress of the International Council of the Aeronautical Sciences, ICAS 2016 - Daejeon, Korea, Republic of
Duration: 25 Sep 201630 Sep 2016

Publication series

Name30th Congress of the International Council of the Aeronautical Sciences, ICAS 2016

Conference

Conference30th Congress of the International Council of the Aeronautical Sciences, ICAS 2016
Country/TerritoryKorea, Republic of
CityDaejeon
Period25/09/1630/09/16

Keywords

  • Non-intrusive polynomial chaos
  • Principal component analysis
  • Sensitivity analysis
  • Transonic aerodynamics
  • Uncertainty quantification

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