Progress in Efficient Reduced Order Methods for Temporal Periodic Unsteady Flows Within Turbomachinery

doi:10.13675/j.cnki.tjjs.200339

Journal of Propulsion Technology ›› 2021, Vol. 42 ›› Issue (1): 39-52.DOI: 10.13675/j.cnki.tjjs.200339

• Aero-thermodynamics • Previous Articles Next Articles

Progress in Efficient Reduced Order Methods for Temporal Periodic Unsteady Flows Within Turbomachinery

1.School of Power and Energy，Northwestern Polytechnical University，Xi’an 710129，China;2.Key Laboratory of Aeroengine Internal Flows，Northwestern Polytechnical University，Xi’an 710129，China

Online:2021-01-15 Published:2021-01-15

叶轮机周期性非定常流高效降阶数值计算方法研究进展

吴航空¹，王丁喜^1,2，黄秀全^1,2

1.西北工业大学动力与能源学院，陕西西安 710129;2.西北工业大学航空发动机内流重点实验室，陕西西安 710129

作者简介:吴航空，博士生，研究领域为计算流体力学。E-mail：hangkong_wu@qq.com
基金资助:
自然科学基金面上项目（51976172）；国家科技重大专项（2017-II-0009-0023)。

Abstract

Abstract: The paper starts with a brief introduction of the significant influence of unsteady flows on turbomachinery performance， then summarizes the time and space periodicities of turbomachinery unsteady flows arising from blade row interaction and blade vibration. The time and space periodicities can be made use of to develop efficient reduced order numerical methods for analysing these unsteady flows. This paper classifies these reduced order methods based upon their own features and provides detailed discussions about their pros and cons and their applications in turbomachinery aeroelasticity. Finally， the key technologies and the future development prospects of reduced order methods are outlined.

Key words: Reduced order methods;Unsteady flows;Periodicity;Aeroelasticity;Turbomachinery;Review

摘要： 简要介绍了叶轮机内非定常流对叶轮机性能的重要影响，总结了叶轮机内动静相干和叶片振动诱发的非定常流的时空周期性特点，并指出这些时空周期性特点可以加以利用，发展分析这些非定常流的高效降阶数值计算方法。本文根据不同数值降阶方法的特点对其进行了归类，详细分析了各自的优缺点及在气动弹性力学领域的应用，并进一步展望了降阶数值方法在未来的几个关键技术及发展趋势。

关键词: 降阶数值计算方法;非定常流动;周期性;气动弹性力学;叶轮机;综述

WU Hang-kong¹, WANG Ding-xi^1,2, HUANG Xiu-quan^1,2. Progress in Efficient Reduced Order Methods for Temporal Periodic Unsteady Flows Within Turbomachinery[J]. Journal of Propulsion Technology, 2021, 42(1): 39-52.

吴航空，王丁喜，黄秀全. 叶轮机周期性非定常流高效降阶数值计算方法研究进展[J]. 推进技术, 2021, 42(1): 39-52.

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Progress in Efficient Reduced Order Methods for Temporal Periodic Unsteady Flows Within Turbomachinery

叶轮机周期性非定常流高效降阶数值计算方法研究进展

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