Effects of Some Parameters on the Accuracy of Aeroelastic Proper Orthogonal Decomposition Reduced Order Model[J]. 2016, 50(11): 104-109.
DOI:
Effects of Some Parameters on the Accuracy of Aeroelastic Proper Orthogonal Decomposition Reduced Order Model[J]. 2016, 50(11): 104-109.DOI: 10.7652/xjtuxb201611016.
Effects of Some Parameters on the Accuracy of Aeroelastic Proper Orthogonal Decomposition Reduced Order Model
To quickly analyze the flutter boundary condition and response characteristics of transonic nonlinear aeroelastic systems
a CFD based aeroelastic reduced order model(ROM)was built in this paper through a proper orthogonal decomposition(POD)method. To implement this process
a full order linearized time domain model was built firstly by Taylor expression on the nonlinear steady CFD flow field; then a fluid ROM was obtained through the POD method Afterwards
an aeroelastic ROM was built by coupling the fluid ROM with structural dynamic equations. An international standard model AGARD 445.6 wing was taken as the test case to illustrate the results. Some important parameters in ROM establishment such as steady flow field
time step and the process of generation of sample dates were systematically studied. The research indicates that if the steady flow field doesn't have good convergence performance
the linearized model may have unstable and that the responses may have numerical oscillation and become unstable as the large time step is selected in the ROM calculation. In order to capture more flow characteristics of the flow field
the generation of POD sample dates should ensure adequate response time. The ROM built in this paper has the same accuracy with the nonlinear CFD/CSD coupling system and it is a low order state space model which can be applied to system characteristics analysis and flutter suppression design. Compared with CFD/CSD coupled method
the computational efficiency can be improved about 3 to 6 orders.
ZHOU Qiang, CHEN Gang, LI Yueming. Considering fluid-structure coupling effect of an aircraft mechanical properties analysis [J]. Chinese Journal of Applied Mechanics, 2015(2): 209-214.
SILVA W A, BARTELS R E. Development of reduced-order models for aeroelastic analysis and flutter prediction using the CFL3Dv6.0 code [J]. Journal of Fluids and Structures, 2004, 19(6): 729-745.
LUCIA D J, BERAN P S, SILVA W A. Reduced-order modeling: new approaches for computational physics [J]. Progress in Aerospace Sciences, 2004, 40(1): 51-117.
CHEN Gang, LI Yueming. Advances and prospects of the reduced order model for unsteady flow and its application [J]. Advances in Mechanics, 2011, 41(6): 686-701.[6] CHEN G, SUN J, LI Y. Active flutter suppression control law design method based on balanced proper orthogonal decomposition reduced order model [J]. Nonlinear Dynamics, 2012, 70(1): 1-12.
CHEN Gang, LI Yueming, YAN Guirong, et al. A fast aeroelastic response prediction method based on proper orthogonal decomposition reduced order model [J]. Journal of Astronautics, 2009, 30(5): 1765-1770.
LIEU T. Adaptation of reduced order models for applications in aeroelasticity [D]. Denver, Colorado, USA: University of Colorado, 2004.
AMSALLEM D, FARHAT C. Interpolation method for adapting reduced-order models and application to aeroelasticity [J]. AIAA Journal, 2008, 46(7): 1803-1813.
KANG Wei, ZHANG Jiazhong, LI Kailun. Nonlinear Galerkin method for dimension reduction using proper orthogonal decomposition [J]. Journal of Xi'an Jiaotong University, 2011, 45(11): 58-62.
DING Peng, TAO Wenquan. Reduced order model based algorithm for inverse convection heat transfer problem [J]. Journal of Xi'an Jiaotong University, 2009, 43(3): 14-16.
LIANG Y C, LEE H P, LIM S P, et al. Proper orthogonal decomposition and its applications: I theory [J]. Journal of Sound and Vibration, 2002, 252(3): 527-544.
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(School of Energy and Power Engineering, Xi'an Jiaotong University,,)
西安交通大学热流科学与工程教育部重点实验室,710049,西安Key Laboratory of Thermo-Fluid Science and Engineering of Ministry of Education, Xi'an Jiaotong University, Xi'an 710049, China
西安交通大学能源与动力工程学院,710049,西安School of Energy and Power Engineering, Xi'an Jiaotong University, Xi'an 710049, China
School of Energy and Power Engineering, Xi'an Jiaotong University