08 December 2008

STAB2006_Real-time Identification of Behavior Leading to Capsize

McCue, L.S., Bassler, C.†, and Belknap, W., "Real-time identification of behavior leading to capsize," 9th International Conference on Stability of Ships and Ocean Vehicles (STAB 2006), Rio de Janeiro, Brazil, September, 2006.

Real-time Identification of Behavior Leading to Capsize
Leigh McCue, Aerospace and Ocean Engineering, Virginia Tech
Christopher Bassler, Aerospace and Ocean Engineering, Virginia Tech
William Belknap, Seakeeping Division, Naval Surface Warfare Center, Carderock Division

In this paper the authors present a methodology to detect instabilities leading to capsize in realtime. Specifically, variations in finite-time Lyapunov exponent (FTLE) time series are identified from experimental data. As shown in prior work, FTLEs have potential, both numerically and experimentally, to indicate the onset of chaotic behavior leading to capsize through detection of idiosyncrasies in the FTLE time series. The principle objective of this work is to identify instabilities from experimental data without dependence upon time-consuming numerical simulation. A demonstration of the concept is given through application to experimental data for a notional destroyer model (DTMB model 5514).

capsize, chaos, finite-time Lyapunov exponent

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