Method for evaluating aerodynamic performance of high-speed aircraft
A high-speed aircraft and aircraft technology, applied in the field of aircraft research, can solve problems such as lack of prediction formulas and strong Reynolds comparisons, inaccurate aerodynamic performance evaluation results, and unclear physical meaning of prediction methods, so as to achieve accurate evaluation and reduce prediction errors , to achieve the effect of aerodynamic performance
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Embodiment 1
[0053] Please refer to figure 1 , figure 1 It is a schematic flow chart of a method for evaluating the aerodynamic performance of a high-speed aircraft. Embodiment 1 of the present invention provides a method for evaluating the aerodynamic performance of a high-speed aircraft. The method includes:
[0054] Construct the prediction model of aircraft wall frictional resistance fluctuation and the prediction model of aircraft wall heat flow fluctuation;
[0055] The first intermediate quantity data and the second intermediate quantity data are obtained through numerical simulation or experimental calibration, and the first intermediate quantity data includes: aircraft wall friction pulsation prediction related modulation coefficient, aircraft wall friction pulsation prediction related universal signal, aircraft Wall surface friction pulsation prediction related phase difference and aircraft wall friction pulsation prediction related linear random prediction kernel function; the ...
Embodiment 2
[0122] Embodiment 2 of the present invention introduces this method in detail in conjunction with specific examples:
[0123] In the application, the modulation coefficient in the model, the phase difference of the modulation pair superposition, and the linear correlation kernel function need to be directly calibrated by numerical simulation at a medium Reynolds number / high Reynolds number, and can be applied to other parameters after calibration.
[0124] Input signal during application: large-scale velocity pulsation in the outer zone, which can be given by low-resolution numerical simulation or experimental measurement; output signal: wall friction and heat flow pulsation signals.
[0125] The accuracy of the prediction results of this method is verified by the joint probability density (PDF). The calculation parameters are: incoming flow Mach number 3.0, incoming flow total temperature 300K, wall temperature 420K, and Reynolds number 42000. Such as Figure 2-Figure 5 show...
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