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The Aeroelastic Model using the Principal Shapes of modes (AMPS) is a method used to predict flutter in gas turbine engines. Modern gas turbine engines often include rotors with flexible disks and/or significant blade geometry variations. The AMPS method accounts for the varying blade mode shapes as

The Aeroelastic Model using the Principal Shapes of modes (AMPS) is a method used to predict flutter in gas turbine engines. Modern gas turbine engines often include rotors with flexible disks and/or significant blade geometry variations. The AMPS method accounts for the varying blade mode shapes associated with flexible disks as well as changing blade geometry, providing accurate flutter predictions for a large number of modes from a relatively small number of CFD (computational fluid dynamics) simulations. The AMPS method includes determining a smaller set of principal shapes that approximates a larger set of structural modes of interest. Using linear superposition, aerodynamic forces associated with the vibration of the principal shapes can be used to construct the full aerodynamic coupling matrix associated with the structural modes of interest. An eigenvalue equation is solved to determine a damping distribution associated with the structural modes of interest. The damping distribution is predictive of flutter.

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1. A method of predicting flutter comprising the steps of: providing a non-transitory computer readable medium containing instructions stored therein for causing a computer to perform the following steps;determining a set of structural mode shapes;defining a set of principal shapes of modes based on

1. A method of predicting flutter comprising the steps of: providing a non-transitory computer readable medium containing instructions stored therein for causing a computer to perform the following steps;determining a set of structural mode shapes;defining a set of principal shapes of modes based on the set of structural mode shapes, wherein the set of principal shapes is smaller than the set of structural mode shapes and wherein said principal shapes of modes is determined using singular value decomposition;determining an aerodynamic damping distribution for the set of structural mode shapes based upon the set of principal shapes of modes; andpredicting flutter based on the aerodynamic damping distribution. 2. The method of predicting flutter as recited in claim 1, further including the step of constructing an aerodynamic coupling matrix based upon the set of principal shapes of modes, wherein the aerodynamic coupling matrix is used to determine the aerodynamic damping distribution. 3. The method of predicting flutter as recited in claim 2, further including the steps of: calculating aerodynamic forces induced by the principal shapes of modes; andusing linear superposition to compute aerodynamic forces induced by vibration of the set of structural mode shapes from the aerodynamic forces induced by the vibration of the principal shapes. 4. The method of predicting flutter as recited in claim 1, wherein the set of principal shapes approximately spans the set of structural mode shapes. 5. A flutter prediction system comprising: a computer including:a processor; andstorage including a computer program which, when executed by the computer, defines a set of principal modes shapes, smaller than the set of structural mode shapes, and determines a damping distribution for the set of structural mode shapes based upon the set of principal shapes and wherein the set of principal mode shapes are defined using singular value decomposition. 6. The flutter prediction system as recited in claim 5, further including an electronic representation of a component, which is inputted into the computer, and wherein the set of structural mode shapes is based upon a finite element analysis of the electronic representation. 7. The flutter prediction system as recited in claim 6, wherein the damping distribution is predictive of flutter. 8. A non-transitory computer readable medium storing a computer program which, when executed by a computer performs the steps of: receiving an electronic representation of a component;generating a set of structural mode shapes based upon the electronic representation;defining a set of principal shapes based on the set of structural mode shapes, wherein the set of principal shapes is smaller than the set of structural mode shapes and wherein the set of principal mode shapes is determined using singular value decomposition;determining an aerodynamic damping distribution for the set of structural mode shapes based upon the set of principal shapes;predicting flutter based on the aerodynamic damping distribution; andgenerating an output detailing the flutter prediction. 9. The non-transitory computer readable medium as recited in claim 8 which, when executed by the computer, simulates the set of principal shapes. 10. The non-transitory computer readable medium as recited in claim 9, wherein aerodynamic forces induced by vibration of the set of principal shapes are recorded. 11. The non-transitory computer readable medium as recited in claim 10 which, when executed by the computer, constructs an aerodynamic coupling matrix based upon the recorded aerodynamic forces induced by the vibration of the set of principal shapes. 12. The non-transitory computer readable medium as recited in claim 9, wherein the coupling matrix is constructed using linear superposition. 13. The non-transitory computer readable medium as recited in claim 10 which, when executed by the computer, determines an aerodynamic damping distribution. 14. The non-transitory computer readable medium as recited in claim 11, wherein the aerodynamic damping distribution is determined by solving an eigenvalue problem. 15. The non-transitory computer readable medium as recited in claim 8, wherein the output is displayed on a computer screen. 16. The non-transitory computer readable medium as recited in claim 8, wherein the output is stored in a computer memory. 17. The non-transitory computer readable medium as recited in claim 8, wherein the output is downloadable.