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The Lissajous figures provide key insight into the highly non-sinusoidal tracking of the Cp
with respect to aircraft motion. Additionally, the wavelet analysis is a key component in
identifying the localized frequency differences at any point in time. Temporal analysis
techniques such as these are vital at uncovering the non-periodic behavior in the response. Once
the state of FSI codes is capable of accurately modeling a true LCO mechanism, these techniques
will be crucial in identifying the underlying physics that would be otherwise missed by
frequency-domain-based techniques that are currently relied upon.
The work presented here supports additional FSR study into realistic, transonic aeroelastic
motions such as prescribed bending, torsion, and complex (LCO) motion, as well as the addition
of pylons, launchers, and stores. As these complexities are added, the flow-field features should
develop and interact differently, leading to varying pressure distributions, shock locations and
strengths, and vortical structures on the wing; and resulting in added time and flow inertia lags.
Features such as these could be participating in the LCO mechanism.
Future Research Direction
Increasingly more complex configurations will be analyzed in order to acquire more
knowledge as to how and which flow-field characteristics may be contributing to the occurrence
of transonic LCO. Deformation of the wingtip in bending, torsion, and combined bending/torsion
motions (effectively simulating the LCO mechanism), respectively, is next on the agenda.
Through this build-up approach, understanding is hoped to be gleaned of how small
configuration changes to the aircraft, such as adding pylons/launchers/stores, influence the
characteristics of the flow-field during transonic LCO conditions; and ultimately how these flow-
field characteristics may influence on the LCO mechanism. Other parameters, such as the Mach
number and altitude, will then be varied in order to capture more diverse LCO conditions.
Temporal analysis techniques such as the Lissajous and wavelet transforms will be applied to
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