Evaluation of discontinuity treatment in intrusive polynomial chaos for uncertainty quantification of a nozzle flow in CFD

Stochastic flow simulation methods based on the polynomial chaos expansion (PCE) are developed and verified to quantify the propagation of a geometric uncertainty of a quasi-one dimensional flow in a supersonic wind tunnel. The effect of uncertainty in the area of diffuser throat, i.e. second throat...

Full description

Bibliographic Details
Main Authors: Koji MIYAJI, Takumi INOUE
Format: Article
Language:English
Published: The Japan Society of Mechanical Engineers 2020-01-01
Series:Journal of Fluid Science and Technology
Subjects:
Online Access:https://www.jstage.jst.go.jp/article/jfst/15/1/15_2020jfst0002/_pdf/-char/en
_version_ 1818965991490584576
author Koji MIYAJI
Takumi INOUE
author_facet Koji MIYAJI
Takumi INOUE
author_sort Koji MIYAJI
collection DOAJ
description Stochastic flow simulation methods based on the polynomial chaos expansion (PCE) are developed and verified to quantify the propagation of a geometric uncertainty of a quasi-one dimensional flow in a supersonic wind tunnel. The effect of uncertainty in the area of diffuser throat, i.e. second throat, on the wind tunnel starting problem is focused on, where a slight change in the area can cause a large jump of the shock wave resulting in a breakdown of the supersonic test conditions. Two major numerical techniques in our intrusive PCE are the multi-wavelet (MW) basis and the multi-element (ME) PCE, in order to properly deal with discontinuous responses of output variables, which are caused by the shock wave and its jump at started/unstarted mode change. Single-element spectral PCE using Legendre basis and the Haar-wavelet are also included as special cases of the MW, and the methods are all compared with Monte-Carlo Simulations (MCS) executed by the deterministic code. Response surfaces of the pressure by the employed PCEs qualitatively agree with the result of MCS except the spectral PCE. Furthermore, from quantitative evaluations by the probability density function (PDF) of the output on a rather complicated response surface with several discontinuities, the ME-PCE best agrees with the MCS at much lower computation costs.
first_indexed 2024-12-20T13:25:48Z
format Article
id doaj.art-4880fef37ffb48aa8ab9a6768deb231f
institution Directory Open Access Journal
issn 1880-5558
language English
last_indexed 2024-12-20T13:25:48Z
publishDate 2020-01-01
publisher The Japan Society of Mechanical Engineers
record_format Article
series Journal of Fluid Science and Technology
spelling doaj.art-4880fef37ffb48aa8ab9a6768deb231f2022-12-21T19:39:15ZengThe Japan Society of Mechanical EngineersJournal of Fluid Science and Technology1880-55582020-01-01151JFST0002JFST000210.1299/jfst.2020jfst0002jfstEvaluation of discontinuity treatment in intrusive polynomial chaos for uncertainty quantification of a nozzle flow in CFDKoji MIYAJI0Takumi INOUE1Division of systems research, Faculty of engineering, Yokohama National UniversityDepartment of Mechanical Engineering, Material Science, and Ocean Engineering, Yokohama National UniversityStochastic flow simulation methods based on the polynomial chaos expansion (PCE) are developed and verified to quantify the propagation of a geometric uncertainty of a quasi-one dimensional flow in a supersonic wind tunnel. The effect of uncertainty in the area of diffuser throat, i.e. second throat, on the wind tunnel starting problem is focused on, where a slight change in the area can cause a large jump of the shock wave resulting in a breakdown of the supersonic test conditions. Two major numerical techniques in our intrusive PCE are the multi-wavelet (MW) basis and the multi-element (ME) PCE, in order to properly deal with discontinuous responses of output variables, which are caused by the shock wave and its jump at started/unstarted mode change. Single-element spectral PCE using Legendre basis and the Haar-wavelet are also included as special cases of the MW, and the methods are all compared with Monte-Carlo Simulations (MCS) executed by the deterministic code. Response surfaces of the pressure by the employed PCEs qualitatively agree with the result of MCS except the spectral PCE. Furthermore, from quantitative evaluations by the probability density function (PDF) of the output on a rather complicated response surface with several discontinuities, the ME-PCE best agrees with the MCS at much lower computation costs.https://www.jstage.jst.go.jp/article/jfst/15/1/15_2020jfst0002/_pdf/-char/enuncertainty quantificationcomputational fluid dynamicspolynomial chaoswaveletshock wave
spellingShingle Koji MIYAJI
Takumi INOUE
Evaluation of discontinuity treatment in intrusive polynomial chaos for uncertainty quantification of a nozzle flow in CFD
Journal of Fluid Science and Technology
uncertainty quantification
computational fluid dynamics
polynomial chaos
wavelet
shock wave
title Evaluation of discontinuity treatment in intrusive polynomial chaos for uncertainty quantification of a nozzle flow in CFD
title_full Evaluation of discontinuity treatment in intrusive polynomial chaos for uncertainty quantification of a nozzle flow in CFD
title_fullStr Evaluation of discontinuity treatment in intrusive polynomial chaos for uncertainty quantification of a nozzle flow in CFD
title_full_unstemmed Evaluation of discontinuity treatment in intrusive polynomial chaos for uncertainty quantification of a nozzle flow in CFD
title_short Evaluation of discontinuity treatment in intrusive polynomial chaos for uncertainty quantification of a nozzle flow in CFD
title_sort evaluation of discontinuity treatment in intrusive polynomial chaos for uncertainty quantification of a nozzle flow in cfd
topic uncertainty quantification
computational fluid dynamics
polynomial chaos
wavelet
shock wave
url https://www.jstage.jst.go.jp/article/jfst/15/1/15_2020jfst0002/_pdf/-char/en
work_keys_str_mv AT kojimiyaji evaluationofdiscontinuitytreatmentinintrusivepolynomialchaosforuncertaintyquantificationofanozzleflowincfd
AT takumiinoue evaluationofdiscontinuitytreatmentinintrusivepolynomialchaosforuncertaintyquantificationofanozzleflowincfd