Parametric model reduction for aeroelastic systems: Invariant aeroelastic modes

Abstract A novel model reduction methodology for coupled aeroelastic systems undergoing parameter variations is presented based on a frequency-domain formulation and use of the Proper Orthogonal Decomposition. Typically, an aeroelastic system is a function of multiple parameters such as air density, speed, as well as structural parameters, hence its aeroelastic characteristics vary from one condition to another. It is shown that using the Modally Equivalent Perturbed System it is possible to interpret and analyze the parameter variations in the context of ordinary differential equation with forcing terms. The new procedure is applied to Goland wing modeled by a finite element and unsteady vortex to produce a new class of aeroelastic modes that are invariant under the parameter variations. When used for model reduction these aeroelastic modes are shown to produce accurate parametric reduced-order models for a wide range of the parameters.

[1]  Taehyoun Kim,et al.  Order Reduction of State-Space Aeroelastic Models Using Optimal Modal Analysis , 2004 .

[2]  K. Maute,et al.  Multi-point Extended Reduced Order Modeling For Design Optimization and Uncertainty Analysis , 2006 .

[3]  Taehyoun Kim,et al.  An optimal reduced-order aeroelasltic modeling based on a response-based modal analysis of unsteady CFD models , 2001 .

[4]  Kenneth C. Hall,et al.  EIGENANALYSIS OF UNSTEADY FLOW ABOUT AIRFOILS, CASCADES, AND WINGS , 1994 .

[5]  J. Katz,et al.  Low-Speed Aerodynamics , 1991 .

[6]  Jeffrey V. Zweber,et al.  Numerical Analysis of Store-Induced Limit-Cycle Oscillation , 2004 .

[7]  David Amsallem,et al.  An adaptive and efficient greedy procedure for the optimal training of parametric reduced‐order models , 2015 .

[8]  Ralf Zimmermann,et al.  Gradient-enhanced surrogate modeling based on proper orthogonal decomposition , 2013, J. Comput. Appl. Math..

[9]  Chi-Tsong Chen,et al.  Linear System Theory and Design , 1995 .

[10]  Taehyoun Kim,et al.  System Identification for Coupled Fluid-Structures: Aerodynamics is Aeroelasticity Minus Structure , 2011 .

[11]  Earl H. Dowell,et al.  Parametric Study of Flutter for an Airfoil in Inviscid Transonic Flow , 2003 .

[12]  Earl H. Dowell,et al.  Mach Number Influence on Reduced-Order Models of Inviscid Potential Flows in Turbomachinery , 2002 .

[13]  T. Kim Surrogate model reduction for linear dynamic systems based on a frequency domain modal analysis , 2015 .

[14]  Taehyoun Kim,et al.  Aeroelastic Model Reduction for Affordable Computational Fluid Dynamics-Based Flutter Analysis , 2005 .

[15]  Taehyoun Kim,et al.  Frequency-Domain Karhunen -Loeve Method and Its Application to Linear Dynamic Systems , 1998 .

[16]  C. Farhat,et al.  Interpolation Method for Adapting Reduced-Order Models and Application to Aeroelasticity , 2008 .

[17]  Taehyoun Kim Component Mode Synthesis Method Based on Optimal Modal Analysis , 2002 .

[18]  Jeffrey P. Thomas,et al.  Proper Orthogonal Decomposition Technique for Transonic Unsteady Aerodynamic Flows , 2000 .

[19]  Karen Willcox,et al.  Surrogate and reduced-order modeling: a comparison of approaches for large-scale statistical inverse problems [Chapter 7] , 2010 .

[20]  Lawrence Sirovich,et al.  An eigenfunction approach to large scale transitional structures in jet flow , 1990 .

[21]  Taehyoun Kim,et al.  Efficient Reduced-Order System Identification for Linear Systems with Multiple Inputs , 2005 .