Uncertainty quantification and aerodynamic robust optimization of turbomachinery based on graph learning methods

J Li, T Liu, G Zhu, Y Li, Y Xie - Energy, 2023 - Elsevier
The actual operation of turbomachinery is inevitably affected by multi-source uncertainties.
Such uncertainties are detrimental to the performance and reliability of energy systems …

[HTML][HTML] A review of uncertainty quantification and its applications in numerical simulation of scramjet combustor

L Li, L Zhang, B Zhang, H Liu, Z Zheng - International Journal of …, 2023 - Elsevier
Engine design heavily relies on numerical simulation of engine environments, which greatly
accelerates the design iteration and increases efficiency. Nonetheless, for a long time, the …

[HTML][HTML] Influence of leading edge with real manufacturing error on aerodynamic performance of high subsonic compressor cascades

MA Chi, GAO Limin, W Haohao, LI Ruiyu… - Chinese Journal of …, 2021 - Elsevier
To investigate the influence of real leading-edge manufacturing error on aerodynamic
performance of high subsonic compressor blades, a family of leading-edge manufacturing …

Uncertainty quantification study of the aerodynamic performance of high-altitude propellers

N Mourousias, A García-Gutiérrez, A Malim… - Aerospace Science and …, 2023 - Elsevier
Performance evaluations for propellers operating at high altitudes are subject to increased
uncertainty due to scarce experimental or flight data and difficulties in modeling low …

[HTML][HTML] Uncertainty analysis of measured geometric variations in turbine blades and impact on aerodynamic performance

W Xiaojing, DU Pengcheng, YAO Lichao… - Chinese Journal of …, 2023 - Elsevier
Inevitable geometric variations significantly affect the performance of turbines or even that of
entire engines; thus, it is necessary to determine their actual characteristics and accurately …

Fast uncertainty assessment of in-service thrust control for turbofan engines: An equivalent model using Taylor expansion

Z Wei, S Zhang, S Ding - Energy, 2024 - Elsevier
An equivalent model using Taylor expansion (TEEM) is proposed for a fleet of engines
regulated by the industrial baseline controller, aiming at the fast assessment of in-service …

Uncertainty design and optimization of a hybrid rocket motor with mixed random-interval uncertainties

H Zhu, M Xiao, J Zhang, G Cai - Aerospace Science and Technology, 2022 - Elsevier
Uncertainties, which exist widely in the design of aerospace systems, have a great impact on
system response and may lead to design failures. Both the probability and non-probability …

Robust optimization of the NASA C3X gas turbine vane under uncertain operational conditions

MS Karimi, M Raisee, S Salehi, P Hendrick… - International Journal of …, 2021 - Elsevier
The aim of the current paper is the robust optimization of an internally cooled gas turbine
vane by increasing the cooling performance and decreasing the sensitivity of the …

Stochastic simulation of the FDA centrifugal blood pump benchmark

MS Karimi, P Razzaghi, M Raisee, P Hendrick… - … and Modeling in …, 2021 - Springer
In the present study, the effect of physical and operational uncertainties on the
hydrodynamic and hemocompatibility characteristics of a centrifugal blood pump designed …

Stochastic aerodynamic analysis for compressor blades with manufacturing variability based on a mathematical dimensionality reduction method

Z Guo, W Chu - Proceedings of the Institution of Mechanical …, 2022 - journals.sagepub.com
It is essential for engineering manufacture and robust design to evaluate the impact of
manufacturing variability on the aerodynamics of compressor blades efficiently and …