A persistent homology framework on kernel density estimates of stationary distributions detects shifts in P-bifurcation onset and topology for a two-degree-of-freedom stochastic aeroelastic flutter model under sinusoidal, Dryden, and von Karman turbulence.
Flutter analysis of a nonlinear airfoil using stochastic approach
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P-Bifurcations in Stochastic Flutter Model Under Turbulence
A persistent homology framework on kernel density estimates of stationary distributions detects shifts in P-bifurcation onset and topology for a two-degree-of-freedom stochastic aeroelastic flutter model under sinusoidal, Dryden, and von Karman turbulence.