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Development and Use of Machine-Learnt Algebraic Reynolds Stress Models for Enhanced Prediction of Wake Mixing in Low-Pressure Turbines

机译：机器学习代数雷诺应力模型的开发和使用，用于增强低压涡轮机的唤醒混合预测

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H. D. Akolekar; J. Weatheritt; N. Hutchins; R. D. Sandberg; G. Laskowski; V. Michelassi;
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1. Development and Use of Machine-Learnt Algebraic Reynolds Stress Models for Enhanced Prediction of Wake Mixing in Low-Pressure Turbines [J] . Akolekar H. D., Weatheritt J., Hutchins N., Journal of turbomachinery . 2019,第4期

机译：机器学习的代数雷诺应力模型的开发和使用，用于增强对低压涡轮机尾流混合的预测
2. Effects of periodic wakes on the endwall secondary flow in high-lift low-pressure turbine cascades at low Reynolds numbers [J] . Qu Xiao, Zhang Yanfeng, Lu Xingen, Proceedings of the Institution of Mechanical Engineers . 2019,第1期

机译：低雷诺数下周期性尾流对高升程低压涡轮叶栅端壁二次流的影响
3. The effect of endwall boundary layer and incoming wakes on secondary flow in a high-lift low-pressure turbine cascade at low Reynolds number [J] . Qu Xiao, Zhang Yanfeng, Lu Xingen, Proceedings of the Institution of Mechanical Engineers . 2019,第15期

机译：低雷诺数下高升程低压涡轮叶栅中端壁边界层和进入尾流对二次流的影响
4. DEVELOPMENT AND USE OF MACHINE-LEARNT ALGEBRAIC REYNOLDS STRESS MODELS FOR ENHANCED PREDICTION OF WAKE MIXING IN LPTS [C] . Harshal D. Akolekar, Jack Weatheritt, Nicholas Hutchins, ASME turbo expo: turbomachinery technical conference and exposition . 2018

机译：机器学习的代数雷诺应力模型的开发和使用，以增强LPTS的尾流混合预测
5. Algebraic Reynolds stress modeling of planar mixing layer flows. [D] . Yoder, Dennis Allen. 2005

机译：平面混合层流的代数雷诺应力建模。
6. The Effect of Partial Premixing and Heat Loss on the Reacting Flow Field Prediction of a Swirl Stabilized Gas Turbine Model Combustor [O] . Simon Gövert, Daniel Mira, Jim B. W. Kok, -1

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7. Study on the Wake of a Miniature Wind Turbine Using the Reynolds Stress Model [O] . Jianxiao Hu, Qingshan Yang, Jian Zhang 2016

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Development and Use of Machine-Learnt Algebraic Reynolds Stress Models for Enhanced Prediction of Wake Mixing in Low-Pressure Turbines

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