基于 MNSSC 法的叶片安装角的不确定性分析

Kun Wang; Fu Chen; Jianyang Yu; Guihui Ma

基于 MNSSC 法的叶片安装角的不确定性分析

Translated title of the contribution: Uncertainty Quantification in Blade Stagger Angle Based on MNSSC Method

Kun Wang
, Fu Chen
, Jianyang Yu^*
, Guihui Ma

^*Corresponding author for this work

School of Energy Science and Engineering, Harbin Institute of Technology

Research output: Contribution to journal › Article › peer-review

Abstract

In this paper, based on the Modified Nested Sparse-grid Stochastic Collocation (MNSSC) method, the influence of the random error of the turbine blade stagger angle on the aerodynamic performance of the cascade is studied. The results show that the MNSSC method overcomes the curse of dimension, reduces the number of high-dimensional samples and avoids the waste of samples. The MNSSC method can quickly and effectively simulate the propagation of multiple uncertainties in the internal flow field; The influence of uncertainties on the suction side is significantly greater than that on the pressure side, and it has the greatest influence on the suction side of 40%C_ax; the uncertainties of the stagger angle affect the flow field along the A direction, and its mainly affects areas with large velocity gradients such as separation regions.

Translated title of the contribution	Uncertainty Quantification in Blade Stagger Angle Based on MNSSC Method
Original language	Chinese (Traditional)
Pages (from-to)	2705-2712
Number of pages	8
Journal	Kung Cheng Je Wu Li Hsueh Pao/Journal of Engineering Thermophysics
Volume	44
Issue number	10
State	Published - Oct 2023
Externally published	Yes

Cite this

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title = "基于 MNSSC 法的叶片安装角的不确定性分析",

abstract = "In this paper, based on the Modified Nested Sparse-grid Stochastic Collocation (MNSSC) method, the influence of the random error of the turbine blade stagger angle on the aerodynamic performance of the cascade is studied. The results show that the MNSSC method overcomes the curse of dimension, reduces the number of high-dimensional samples and avoids the waste of samples. The MNSSC method can quickly and effectively simulate the propagation of multiple uncertainties in the internal flow field; The influence of uncertainties on the suction side is significantly greater than that on the pressure side, and it has the greatest influence on the suction side of 40\%Cax; the uncertainties of the stagger angle affect the flow field along the A direction, and its mainly affects areas with large velocity gradients such as separation regions.",

keywords = "MNSSC method, stagger angle error, uncertainty quantization",

author = "Kun Wang and Fu Chen and Jianyang Yu and Guihui Ma",

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TY - JOUR

T1 - 基于 MNSSC 法的叶片安装角的不确定性分析

AU - Wang, Kun

AU - Chen, Fu

AU - Yu, Jianyang

AU - Ma, Guihui

PY - 2023/10

Y1 - 2023/10

N2 - In this paper, based on the Modified Nested Sparse-grid Stochastic Collocation (MNSSC) method, the influence of the random error of the turbine blade stagger angle on the aerodynamic performance of the cascade is studied. The results show that the MNSSC method overcomes the curse of dimension, reduces the number of high-dimensional samples and avoids the waste of samples. The MNSSC method can quickly and effectively simulate the propagation of multiple uncertainties in the internal flow field; The influence of uncertainties on the suction side is significantly greater than that on the pressure side, and it has the greatest influence on the suction side of 40%Cax; the uncertainties of the stagger angle affect the flow field along the A direction, and its mainly affects areas with large velocity gradients such as separation regions.

AB - In this paper, based on the Modified Nested Sparse-grid Stochastic Collocation (MNSSC) method, the influence of the random error of the turbine blade stagger angle on the aerodynamic performance of the cascade is studied. The results show that the MNSSC method overcomes the curse of dimension, reduces the number of high-dimensional samples and avoids the waste of samples. The MNSSC method can quickly and effectively simulate the propagation of multiple uncertainties in the internal flow field; The influence of uncertainties on the suction side is significantly greater than that on the pressure side, and it has the greatest influence on the suction side of 40%Cax; the uncertainties of the stagger angle affect the flow field along the A direction, and its mainly affects areas with large velocity gradients such as separation regions.

KW - MNSSC method

KW - stagger angle error

KW - uncertainty quantization

UR - https://www.scopus.com/pages/publications/85174410376

M3 - 文章

AN - SCOPUS:85174410376

SN - 0253-231X

VL - 44

SP - 2705

EP - 2712

JO - Kung Cheng Je Wu Li Hsueh Pao/Journal of Engineering Thermophysics

JF - Kung Cheng Je Wu Li Hsueh Pao/Journal of Engineering Thermophysics

IS - 10

ER -

基于 MNSSC 法的叶片安装角的不确定性分析

Abstract

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