Technical Papers
Feb 18, 2019

Efficient ROM Method for Calculating Blade Aerodynamic Forces to Upstream and Downstream Perturbations

Publication: Journal of Aerospace Engineering
Volume 32, Issue 3

Abstract

High-fidelity computational fluid dynamics (CFD) simulation is now of growing importance to predict the aerodynamic forces of turbine engine blades involving stator-rotor interaction. However, CFD simulation is time-consuming. An efficient Volterra reduced-order modeling (ROM) method is presented to reduce the CFD simulation costs for accurately predicting the aerodynamic forces caused by upstream wake and downstream blocking in stator-rotor interaction problems. The ROM method calculates the aerodynamic forces by first-order multi-input–multioutput (MIMO) Volterra series. The upstream wake (or downstream blocking) is represented by the total pressure waves (or backpressure waves) of a point at the inlet (or outlet) using the traveling wave method. The ROM kernels corresponding to inlet and outlet perturbations are identified by the step method. The accuracy of the proposed method is discussed by two-dimensional (2D) blade examples. The results show that the proposed method is feasible.

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Acknowledgments

This project is supported by National Science Foundation of China (Grant No. 51775518). The authors would like to express gratitude to Professor X. M. Wang of Northwestern Polytechnic University in revising the manuscript and to the referees for their kindly suggestions.

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Go to Journal of Aerospace Engineering
Journal of Aerospace Engineering
Volume 32Issue 3May 2019

History

Received: Feb 1, 2018
Accepted: Oct 9, 2018
Published online: Feb 18, 2019
Published in print: May 1, 2019
Discussion open until: Jul 18, 2019

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Authors

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Lizhou Li, Ph.D. [email protected]
Associate Professor, School of Mechatronic Engineering, North Univ. of China, Taiyuan 030051, China (corresponding author). Email: [email protected]
Xinyan Zhang [email protected]
Master’s Student, School of Mechatronic Engineering, North Univ. of China, Taiyuan 030051, China. Email: [email protected]
Assistant Professor, Dept. of Mathematics, Taiyuan Univ., Taiyuan 030001, China. Email: [email protected]
Meini Yuan, Ph.D. [email protected]
Professor, School of Mechatronic Engineering, North Univ. of China, Taiyuan 030051, China. Email: [email protected]
Yujie Han, Ph.D. [email protected]
Fellow Researcher, AVIC Manufacturing Technology Institute, No. 1 Chaoyang Rd., Chaoyang District, Beijing 100024, China. Email: [email protected]

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