Polynomial Chaos Expansion-Based Uncertainty Model for Fast Assessment of Gas Turbine Aero-Engines Thrust Regulation: A Sparse Regression Approach

S Li, Z Wei, S Zhang, Z Cen… - … Expo: Power for …, 2024 - asmedigitalcollection.asme.org
Uncertainties in gas turbine aero-engines are unavoidable among which manufacturing
tolerance is a typical manifestation. Uncertainties from manufacturing tolerance directly …

Polynomial Chaos Expansion-Based Uncertainty Model for Fast Assessment of Gas Turbine Aero-Engines Thrust Regulation: A Sparse Regression Approach

S Li, Z Wei, S Zhang, Z Cen… - … of Engineering for …, 2025 - asmedigitalcollection.asme.org
Manufacturing tolerance uncertainties in gas turbine aero-engines are unavoidable, which
adversely influence the thrust control performance of newly produced aero-engines …

Robustness Analysis on the Aerothermal Performance of Turbine Blade Squealer Tip

M Huang, Z Li, J Li - Journal of Engineering for Gas …, 2022 - asmedigitalcollection.asme.org
An improved efficient uncertainty quantification (UQ) analysis framework is proposed by the
combination of sparse polynomial chaos expansion (PCE) and universal Kriging (UK) …

A data-driven polynomial chaos method for uncertainty quantification of a subsonic compressor cascade with stagger angle errors

H Wang, L Gao, G Yang, B Wu - … Part A: Journal of Power and …, 2024 - journals.sagepub.com
The probability-based uncertainty quantification (UQ) methods require a large amount of
sampled data to construct the probability distribution of uncertain input parameters …

Robust optimization method based on adaptive sparse polynomial chaos

GUO Zhendong, LI Haojie, S Liming… - Acta Aeronautica et …, 2024 - sciopen.com
Traditional polynomial chaos is faced with “curse of dimensionality”, and relies on practical
tasks and experience to artificially determine the order of orthogonal polynomial expansion …

Investigations on the aerothermal performance of the turbine blade winglet squealer tip within an uncertainty framework

M Huang, Z Li, J Li - Aerospace Science and Technology, 2022 - Elsevier
A improved efficient uncertainty quantification analysis framework is proposed by the
combination of sparse Polynomial Chaos Expansion (PCE) and Universal Kriging (UK) …

Efficient uncertainty quantification and Sensitivity analysis on the Aerothermal performance of turbine blade Squealer tip

M Huang, Z Li, J Li, L Song - Journal of …, 2022 - asmedigitalcollection.asme.org
It is important to accurately estimate the impact of flow and geometric variations for
engineering design and manufacture. In this paper, an efficient uncertainty quantification …

Uncertainty analysis of global and local performance impact of inflow and geometric uncertainties using sparse grid-based non-intrusive polynomial chaos

Z Guo, W Chu, H Zhang - … , Part A: Journal of Power and …, 2022 - journals.sagepub.com
Flow variations at the inlet boundary due to the compressor operational condition changes
and geometric variations of the realistic compressor blades due to the manufacturing …

Critical Sample-Size Analysis for Uncertainty Aerodynamic Evaluation of Compressor Blades with Stagger-Angle Errors

H Wang, L Gao, B Wu - Aerospace, 2023 - mdpi.com
Many probability-based uncertainty quantification (UQ) schemes require a large amount of
sampled data to build credible probability density function (PDF) models for uncertain …

Gaussian Process Model-Based Performance Uncertainty Quantification of a Typical Turboshaft Engine

X Liu, H Tang, X Zhang, M Chen - Applied Sciences, 2021 - mdpi.com
The gas turbine engine is a widely used thermodynamic system for aircraft. The demand for
quantifying the uncertainty of engine performance is increasing due to the expectation of …