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 …

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 …

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 …

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 …

Uncertainty quantification using generalized polynomial chaos for online simulations of automotive propulsion systems

H Yang, N Kidambi, Y Fujii… - 2020 American …, 2020 - ieeexplore.ieee.org
Online simulations conducted in vehicles can enable predictive control of automotive
systems. This capability can be especially valuable for complex propulsion systems to …

Uncertainty quantification of heat transfer for a highly loaded gas turbine blade endwall using polynomial chaos

P Zhu, Y Yan, L Song, J Li… - … Expo: Power for …, 2016 - asmedigitalcollection.asme.org
The durability of highly loaded gas turbine blade is significantly impacted by high heat
transfer. The heat transfer performance of the gas turbine endwall can be varied significantly …

Aerothermal performance robustness and reliability analysis of turbine blade squealer tip with film cooling

M Huang, K Zhang, Z Li, J Li - Journal of …, 2024 - asmedigitalcollection.asme.org
The uncertainty quantification in the turbine components' aerodynamic and heat transfer
performances is widely considered to be the most challenging topic due to its intricate and …