AEROM: NASA's Unsteady Aerodynamic and Aeroelastic Reduced-Order Modeling Software.

The origins, development, implementation, and application of AEROM, NASA's patented reduced-order modeling (ROM) software, are presented. Full computational fluid dynamic (CFD) aeroelastic solutions and ROM aeroelastic solutions, computed at several Mach numbers using the NASA FUN3D CFD code, are presented in the form of root locus plots in order to better reveal the aeroelastic root migrations with increasing dynamic pressure. The method and software have been applied successfully to several configurations including the Lockheed-Martin N+2 supersonic configuration and the Royal Institute of Technology (KTH, Sweden) generic wind-tunnel model, among others. The software has been released to various organizations with applications that include CFD-based aeroelastic analyses and the rapid modeling of high-fidelity dynamic stability derivatives. Recent results obtained from the application of the method to the AGARD 445.6 wing will be presented that reveal several interesting insights.

[1]  Carol D. Wieseman,et al.  CFD Model Of The Transonic Dynamics Tunnel With Applications , 2018 .

[2]  Christian Breitsamter,et al.  Efficient Computation of Unsteady Aerodynamic Loads Using Computational-Fluid-Dynamics Linearized Methods , 2013 .

[3]  Walter A. Silva,et al.  Development of Reduced-Order Models for Aeroelastic Analysis and Flutter Prediction Using the CFL3Dv6.0 Code , 2002 .

[4]  Yucai Zhu,et al.  Multivariable System Identification For Process Control , 2001 .

[5]  莊哲男.  Applied System Identification , 1994 .

[6]  W. M. Adams,et al.  ISAC: A tool for aeroservoelastic modeling and analysis , 1993 .

[7]  Carol D. Wieseman,et al.  Computational and experimental results for the KTH-NASA wind-tunnel model used for acquisition of transonic nonlinear aeroelastic data , 2017 .

[8]  Walter A. Silva,et al.  Recent Enhancements to the Development of CFD-Based Aeroelastic Reduced-Order Models , 2007 .

[9]  Walter A. Silva,et al.  Evaluation of linear, inviscid, viscous, and reduced-order modelling aeroelastic solutions of the AGARD 445.6 wing using root locus analysis , 2014 .

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

[11]  Walter A. Silva,et al.  Reduced-Order Models Based on Linear and Nonlinear Aerodynamic Impulse Responses , 1999 .

[12]  Walter A. Silva,et al.  Simultaneous Excitation of Multiple-Input Multiple-Output CFD-Based Unsteady Aerodynamic Systems , 2007 .

[13]  Lennart Ljung,et al.  System Identification: Theory for the User , 1987 .

[14]  Walter A. Silva,et al.  IDENTIFICATION OF LINEAR AND NONLINEAR AERODYNAMIC IMPULSE RESPONSES USING DIGITAL FILTER TECHNIQUES , 1997 .

[15]  W. K. Anderson,et al.  An implicit upwind algorithm for computing turbulent flows on unstructured grids , 1994 .

[16]  E Raveh Daniella,et al.  Development of Unsteady Aerodynamic State-Space Models From CFD-Based Pulse Responses , 2001 .

[17]  Liu Xiaoyan,et al.  Aerodynamic Reduced-Order Models Based on Observer Techniques , 2010 .

[18]  Robert T. Biedron,et al.  Simulation of Unsteady Flows Using an Unstructured Navier-Stokes Solver on Moving and Stationary Grids , 2005 .

[19]  Robert T. Biedron,et al.  Recent Enhancements To The FUN3D Flow Solver For Moving-Mesh Applications , 2009 .

[20]  Yi Wang,et al.  Development of Aeroelastic and Aeroservoelastic Reduced Order Models for Active Structural Control , 2015 .

[21]  Valder Steffen,et al.  Using Orthogonal Functions for Identification and Sensitivity Analysis of Mechanical Systems , 2002 .

[22]  Walter A. Silva,et al.  Status of the KTH-NASA Wind-Tunnel Test for Acquisition of Transonic Nonlinear Aeroelastic Data , 2016 .

[23]  Ann L Gaitonde,et al.  Calculations with ERA based reduced order aerodynamic models , 2006 .

[24]  Daniella E. Raveh,et al.  Identification of computational-fluid-dynamics based unsteady aerodynamic models for aeroelastic analysis , 2004 .

[25]  Jamshid A. Samareh,et al.  Discrete Data Transfer Technique for Fluid-Structure Interaction , 2007 .

[26]  Clarence W. Rowley,et al.  Reduced-order models for control of fluids using the eigensystem realization algorithm , 2008, 0907.1907.

[27]  Ann L Gaitonde,et al.  Study of linear response identification techniques and reduced-order model generation for a 2D CFD scheme , 2006 .

[28]  L Krist Sherrie,et al.  CFL3D User''s Manual (Version 5.0) , 1998 .

[29]  M. Phan,et al.  Identification of observer/Kalman filter Markov parameters: Theory and experiments , 1993 .

[30]  Walter A. Silva,et al.  Development of Unsteady Aerodynamic and Aeroelastic Reduced-Order Models Using the FUN3D Code , 2009 .

[31]  Jer-Nan Juang,et al.  An eigensystem realization algorithm for modal parameter identification and model reduction. [control systems design for large space structures] , 1985 .

[32]  W. Silva,et al.  Discrete-time linear and nonlinear aerodynamic impulse responses for efficient cfd analyses , 1997 .

[33]  Walter A. Silva,et al.  Evaluation of linear, inviscid, viscous, and reduced-order modelling aeroelastic solutions of the AGARD 445.6 wing using root locus analysis , 2014 .