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Efficient aero-dynamic reduced-order-model based on SCI/ERA method |
Received:May 18, 2010 Revised:September 04, 2010 |
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DOI:10.7511/jslx20121004 |
KeyWord:reduced-order-model SCI/ERA BPOD second order reduction |
Author | Institution |
窦怡彬 |
西北工业大学 航天学院, 西安 ; 慕尼黑工业大学 空气动力学研究所, 慕尼黑 85748 |
徐敏 |
西北工业大学 航天学院, 西安 |
Christian Breitsamter |
慕尼黑工业大学 空气动力学研究所, 慕尼黑 85748 |
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Abstract: |
The Walsh-single-composite-input signals based on orthogonal Walsh function were simultaneously inputted into the CFD(Computational Fluid Dynamics) model,using SCI/ERA(Single-Composite-Input/Eigensystem Realization Algorithm) to identify a discrete-time-domain,unsteady aero-dynamic reduced-order-model(ROM) in state space formulation from CFD responses directly.The Isogai wing stand aeroelastic example was computed,and the results demonstrate that the SCI/ERA method decreases model’s dimension in 2 orders while still maintains the same accuracy of unsteady CFD codes.Compared to Pulse/ERA method,it improves the computational efficiency by 24% and saves memory space by 34%.Besides,the SCI/ERA method needs much less additional computational resources than Pulse/ERA method while increasing the coupled structure modes.The frequency-domain BPOD(Balanced Proper Orthogonal Decomposition) method can extract a low frequency second-reduced-order-model(SROM) from ROM while remains the same accuracy.The dimension of ROM further decreases by 88% after second order reduction. |
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