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1

J, Brenner Martin, and United States. National Aeronautics and Space Administration., eds. A worst-case approach for on-line flutter prediction. [Washington, D.C: National Aeronautics and Space Administration, 1998.

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2

J, Brenner Martin, and United States. National Aeronautics and Space Administration., eds. A worst-case approach for on-line flutter prediction. [Washington, D.C: National Aeronautics and Space Administration, 1998.

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3

A, Simons Todd, and NASA Glenn Research Center, eds. Application of TURBO-AE to flutter prediction: Aeroelastic code development. [Cleveland, Ohio]: National Aeronautics and Space Administration, Glenn Research Center, 2001.

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4

A, Simons Todd, and NASA Glenn Research Center, eds. Application of TURBO-AE to flutter prediction: Aeroelastic code development. [Cleveland, Ohio]: National Aeronautics and Space Administration, Glenn Research Center, 2001.

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5

A, Simons Todd, and NASA Glenn Research Center, eds. Application of TURBO-AE to flutter prediction: Aeroelastic code development. [Cleveland, Ohio]: National Aeronautics and Space Administration, Glenn Research Center, 2001.

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6

V, Kaza K. R., and United States. National Aeronautics and Space Administration., eds. Semi-empirical model for prediction of unsteady forces on an airfoil with application to flutter. [Washington, DC]: National Aeronautics and Space Administration, 1992.

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7

V, Kaza K. R., and United States. National Aeronautics and Space Administration., eds. Semi-empirical model for prediction of unsteady forces on an airfoil with application to flutter. [Washington, DC]: National Aeronautics and Space Administration, 1992.

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8

Paduano, James D. Methods for in-flight robustness evaluation: Summary of research. [Washington, DC: National Aeronautics and Space Administration, 1995.

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9

1945-, Bennett Robert M., and Langley Research Center, eds. Using transonic small disturbance theory for predicting the aeroelastic stability of a flexible wind-tunnel model. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1990.

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10

Eric, Feron, Brenner Marty, and United States. National Aeronautics and Space Administration., eds. Methods for in-flight robustness evaluation: Summary of research. [Washington, DC: National Aeronautics and Space Administration, 1995.

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11

Eric, Feron, Brenner Marty, and United States. National Aeronautics and Space Administration., eds. Methods for in-flight robustness evaluation: Summary of research. [Washington, DC: National Aeronautics and Space Administration, 1995.

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12

United States. National Aeronautics and Space Administration., ed. Unstalled flutter stability predictions and comparisions [sic] to test data for a composite prop-fan model. [Windsor Locks, CT]: Hamilton Standard Division, United Technologies Corp., 1986.

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13

Scott, Robert C. A method of predicting quasi-steady aerodynamics for flutter analysis of high speed vehicles using steady CFD calculations. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1993.

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14

United States. National Aeronautics and Space Administration, ed. Unstalled flutter stability predictions and comparisions [sic] to test data for a composite prop-fan model. [Windsor Locks, CT]: Hamilton Standard Division, United Technologies Corp., 1986.

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15

Unsteady Aerodynamic Model Tuning for Precise Flutter Prediction. Independently Published, 2019.

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16

A worst-case approach for on-line flutter prediction. [Washington, D.C: National Aeronautics and Space Administration, 1998.

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17

A worst-case approach for on-line flutter prediction. [Washington, D.C: National Aeronautics and Space Administration, 1998.

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18

Nonlinear Transonic Flutter Prediction for F-16 Stores Configuration Clearance. Storming Media, 2003.

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19

Wing flutter boundary prediction using an unsteady Euler aerodynamic method. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1993.

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20

Semi-empirical model for prediction of unsteady forces on an airfoil with application to flutter. [Washington, DC]: National Aeronautics and Space Administration, 1992.

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21

National Aeronautics and Space Administration (NASA) Staff. Semi-Empirical Model for Prediction of Unsteady Forces on an Airfoil with Application to Flutter. Independently Published, 2018.

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22

National Aeronautics and Space Administration (NASA) Staff. Current Progress of a Finite Element Computational Fluid Dynamics Prediction of Flutter for the Aerostructures Test Wing. Independently Published, 2018.

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