基于满秩概率配置法的叶片安装角不确定性分析

Kun Wang; Fu Chen; Jian Yang Yu; Shuai Jiang

基于满秩概率配置法的叶片安装角不确定性分析

Translated title of the contribution: Uncertainty Quantification in Blade Setting Angle Based on Full Rank Probabilistic Collocation Method

Kun Wang
, Fu Chen
, Jian Yang Yu^*
, Shuai Jiang

^*Corresponding author for this work

School of Energy Science and Engineering, Harbin Institute of Technology

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

1 Scopus citations

Abstract

The present paper discusses the effect of the Stochastic Error of Blade Setting Angle (SEBSA) on the of turbine cascade using the Full Rank Probabilistic Collocation (FRPC) method. The calculation efficiency and accuracy of FRPC methed was verified by the test functions firstly, and then the aerodynamic performance was studied in the case of single blade, two adjacent blades and two separated blades with SEBSA using FRPC method. The results show that the pressure coefficient (C_p) and exit velocity are sensitive to SEBSA, and the effects of SEBSA on C_p mainly appears at high velocity gradient regions at blade suction suide, trailing edge and the flow separation region, and the effects are largest at 40% axial chord length of the suction side. With the increase of the number of error blades and dispersion of blade distribution, the effects of uncertainty are offset to a certain extent. The effects of SEBSA propagate at negative circumferential direction, and its influence region are two blades at negative circumferential direction and one blade at positive circumferential direction.

Translated title of the contribution	Uncertainty Quantification in Blade Setting Angle Based on Full Rank Probabilistic Collocation Method
Original language	Chinese (Traditional)
Pages (from-to)	2634-2642
Number of pages	9
Journal	Kung Cheng Je Wu Li Hsueh Pao/Journal of Engineering Thermophysics
Volume	39
Issue number	12
State	Published - 1 Dec 2018
Externally published	Yes

Cite this

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title = "基于满秩概率配置法的叶片安装角不确定性分析",

abstract = "The present paper discusses the effect of the Stochastic Error of Blade Setting Angle (SEBSA) on the of turbine cascade using the Full Rank Probabilistic Collocation (FRPC) method. The calculation efficiency and accuracy of FRPC methed was verified by the test functions firstly, and then the aerodynamic performance was studied in the case of single blade, two adjacent blades and two separated blades with SEBSA using FRPC method. The results show that the pressure coefficient (Cp) and exit velocity are sensitive to SEBSA, and the effects of SEBSA on Cp mainly appears at high velocity gradient regions at blade suction suide, trailing edge and the flow separation region, and the effects are largest at 40\% axial chord length of the suction side. With the increase of the number of error blades and dispersion of blade distribution, the effects of uncertainty are offset to a certain extent. The effects of SEBSA propagate at negative circumferential direction, and its influence region are two blades at negative circumferential direction and one blade at positive circumferential direction.",

keywords = "Full rank probabilistic collocation method, Setting angle error, Uncertainty quantification",

author = "Kun Wang and Fu Chen and Yu, \{Jian Yang\} and Shuai Jiang",

year = "2018",

month = dec,

day = "1",

language = "繁体中文",

volume = "39",

pages = "2634--2642",

journal = "Kung Cheng Je Wu Li Hsueh Pao/Journal of Engineering Thermophysics",

issn = "0253-231X",

publisher = "Science Press ",

number = "12",

}

TY - JOUR

T1 - 基于满秩概率配置法的叶片安装角不确定性分析

AU - Wang, Kun

AU - Chen, Fu

AU - Yu, Jian Yang

AU - Jiang, Shuai

PY - 2018/12/1

Y1 - 2018/12/1

N2 - The present paper discusses the effect of the Stochastic Error of Blade Setting Angle (SEBSA) on the of turbine cascade using the Full Rank Probabilistic Collocation (FRPC) method. The calculation efficiency and accuracy of FRPC methed was verified by the test functions firstly, and then the aerodynamic performance was studied in the case of single blade, two adjacent blades and two separated blades with SEBSA using FRPC method. The results show that the pressure coefficient (Cp) and exit velocity are sensitive to SEBSA, and the effects of SEBSA on Cp mainly appears at high velocity gradient regions at blade suction suide, trailing edge and the flow separation region, and the effects are largest at 40% axial chord length of the suction side. With the increase of the number of error blades and dispersion of blade distribution, the effects of uncertainty are offset to a certain extent. The effects of SEBSA propagate at negative circumferential direction, and its influence region are two blades at negative circumferential direction and one blade at positive circumferential direction.

AB - The present paper discusses the effect of the Stochastic Error of Blade Setting Angle (SEBSA) on the of turbine cascade using the Full Rank Probabilistic Collocation (FRPC) method. The calculation efficiency and accuracy of FRPC methed was verified by the test functions firstly, and then the aerodynamic performance was studied in the case of single blade, two adjacent blades and two separated blades with SEBSA using FRPC method. The results show that the pressure coefficient (Cp) and exit velocity are sensitive to SEBSA, and the effects of SEBSA on Cp mainly appears at high velocity gradient regions at blade suction suide, trailing edge and the flow separation region, and the effects are largest at 40% axial chord length of the suction side. With the increase of the number of error blades and dispersion of blade distribution, the effects of uncertainty are offset to a certain extent. The effects of SEBSA propagate at negative circumferential direction, and its influence region are two blades at negative circumferential direction and one blade at positive circumferential direction.

KW - Full rank probabilistic collocation method

KW - Setting angle error

KW - Uncertainty quantification

UR - https://www.scopus.com/pages/publications/85062281505

M3 - 文章

AN - SCOPUS:85062281505

SN - 0253-231X

VL - 39

SP - 2634

EP - 2642

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 - 12

ER -

基于满秩概率配置法的叶片安装角不确定性分析

Abstract

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