ORIGINAL RESEARCH

Aerosp. Res. Commun.

Uncertainty Quantification for Aerothermal Characteristics of HP Turbine Vanes Under Combined Hot-streak and Turbulence Intensity Effects

  • 1. Xi'an Jiaotong University, Xi'an, China

  • 2. Air Force Engineering University, Xi'an, China, Shaanxi Province

  • 3. Shanghai Electric Power Generation Equipment Co., Ltd., Shanghai, China

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Abstract

This study presents a systematic framework for quantifying aerothermal uncertainties in high-pressure turbine nozzle guide vanes (NGV) under combustorturbine interaction, focusing on the combined impacts of hot streak spatial variations and turbulence intensity fluctuations. By integrating parametric modeling of combustor-exit temperature fields, non-intrusive polynomial chaos expansion (PCE), and Sobol sensitivity analysis, the methodology enables probabilistic evaluation of aerothermal performance across arbitrary turbine locations. Conjugate heat transfer simulations were conducted to analyze the effect of stochastic parameters on the NGV metal temperature uncertainty. The findings reveal that cooled NGVs exhibit an 80% increase in mean total pressure loss and 42% higher fluctuation amplitudes, driven by enhanced midspan mixing and counter-rotating vortices. Localized metal temperature fluctuations reach 4.3% of inlet total temperature, concentrated in cooling transition zones and secondary flow paths. Turbulence intensity dominates uncertainty contributions, while hot streak circumferential variations show minimal influence. The PCE based framework, augmented by Hammersley sampling, achieves computational efficiency with 20 samples, demonstrating robust capability for cooling system design under realistic inflow uncertainties. This work advances probabilistic aerothermal analysis methodologies, offering critical insights for turbine architectures operating under lean-burn combustor conditions.

Summary

Keywords

Nonuniform inlet flow, Aerothermal characteristics, Uncertainty quantization, Polynomial chaos expansion, Combustor-turbine interaction

Received

22 April 2025

Accepted

13 August 2025

Copyright

© 2025 Li, Wang, Wang, Zhang, Du, Li, Wang and Feng. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Zhenping Feng, zpfeng@mail.xjtu.edu.cn

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