2013
DOI: 10.2514/1.j052309
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Transonic Aerodynamic Load Modeling of X-31 Aircraft Pitching Motions

Abstract: The generation of reduced-order models for computing the unsteady and nonlinear aerodynamic loads on an aircraft from pitching motions in the transonic speed range is described. The models considered are based on Duhamel's superposition integral using indicial (step) response functions, Volterra theory using nonlinear kernels, radial basis functions, and a surrogate-based recurrence framework, both using time-history simulations of a training maneuver(s). Results are reported for the X-31 configuration with a … Show more

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Cited by 50 publications
(30 citation statements)
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“…Growth in computing capacity and the development of numerical techniques has recently led to significant progress in finding solutions for Navier-Stokes equations coupled with the dynamics equations governing the aircraft motion, facilitating flight dynamics studies [3,[5][6][7][8][9][10]. However, at present the problems of fluid mechanics and flight dynamics cannot be solved simultaneously in certain flight mechanical applications-for example, in semi-realistic simulation of the aircraft flight using ground-based flight simulators or control system design [3,11].…”
Section: Introductionmentioning
confidence: 99%
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“…Growth in computing capacity and the development of numerical techniques has recently led to significant progress in finding solutions for Navier-Stokes equations coupled with the dynamics equations governing the aircraft motion, facilitating flight dynamics studies [3,[5][6][7][8][9][10]. However, at present the problems of fluid mechanics and flight dynamics cannot be solved simultaneously in certain flight mechanical applications-for example, in semi-realistic simulation of the aircraft flight using ground-based flight simulators or control system design [3,11].…”
Section: Introductionmentioning
confidence: 99%
“…Surrogate modeling approaches, which use mathematical approximations of the true responses of the system, are a cost-effective tool for unsteady aerodynamics. The most popular surrogate modeling techniques are artificial neural networks [23][24][25][26][27], Radial Basis Function (RBF) interpolation [9,10], and kriging [28]. Neural Networks (NN) have been recently shown to be a formal and effective tool for modeling nonlinear unsteady aerodynamics regardless of the aircraft configurations.…”
Section: Introductionmentioning
confidence: 99%
“…COBALT uses an arbitrary Lagrangian-Eulerian formulation and hence allows all translational and rotational degrees of freedom. This feature has been used to simulate aerodynamic behavior of a maneuvering aircraft [26] and to calculate the vehicle responses to a step change in the angle of attack and pitch rate for creating indicial response aerodynamic models [27][28][29]. Additionally, COBALT uses an overset grid method that allows the independent translation and rotation of each grid around a fixed or moving hinge line.…”
Section: Introductionmentioning
confidence: 99%
“…To find a compromise between these two contrasting requirements, model reduction techniques aim at balancing high fidelity and low cost/dimensionality. Various techniques exist, but these are generally limited to linear or weakly-nonlinear systems (Ghoreyshi et al, 2013;Lucia et al, 2004). Among nonlinear ROMs, the harmonic balance (Da Ronch et al, 2013a) and the nonlinear model projection (Da Ronch et al, 2012;Da Ronch et al, 2013c;Timme et al, 2013) have been applied to a variety of test cases and models.…”
Section: Introductionmentioning
confidence: 99%