Experimental Optimization of Extreme Wave Sequences for the Deterministic Analysis of Wave/Structure Interaction

[+] Author and Article Information
Günther F. Clauss

Ocean Engineering Section, Technical University Berlin, Berlin 10587, Germanyclauss@naoe.tu-berlin.de

Christian E. Schmittner

Ocean Engineering Section, Technical University Berlin, Berlin 10587, Germanychristian.schmittner@web.de

J. Offshore Mech. Arct. Eng 129(1), 61-67 (Oct 01, 2006) (7 pages) doi:10.1115/1.2426984 History: Received March 18, 2005; Revised October 01, 2006

For the deterministic analysis of wave/structure interaction in the sense of cause-reaction chains, and for analyzing structure responses due to special wave sequences (e.g., three sisters phenomenon or other rogue wave groups) methods for the precise generation of tailored wave sequences are required. Applying conventional wave generation methods, the creation of wave trains satisfying given local wave parameters, and the generation of wave groups with predefined characteristics is often difficult or impossible, if sufficient accuracy is required. In this paper we present an optimization approach for the experimental generation of wave sequences with defined characteristics. The method is applied to generate scenarios with a single high wave superimposed to irregular seas. The optimization process is carried out in a small wave tank. The resulting control signal is then transferred to a large wave tank considering the electrical, hydraulic and hydrodynamical response amplitude operators (RAOs) of the respective wave generator in order to investigate wave/structure interaction at a large scale.

Copyright © 2007 by American Society of Mechanical Engineers
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Figure 1

Target parameters of a rogue wave group integrated in irregular seas

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Figure 2

Result of optimization for the generation of a first control signal (Hs=13m, Tp=13s)

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Figure 3

Initial control signal (xc(t)) of the optimization process and associated three-scale discrete wavelet transform

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Figure 4

Computer controlled optimization of waves. The wave sequence is automatically created, measured, evaluated, and modified until convergence is achieved.

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Figure 5

Improved wave train and the corresponding zero-downcrossing wave characteristics (step 1690; small wave tank; scale 1:300)

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Figure 6

Synthesis of wave sequence showing 50 iteration steps. Wave train on top is the optimized wave sequence. Bottom—starting signal for the experimental optimization. Top—final wave sequence satisfying the predefined parameter.

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Figure 7

Comparison of the control signals of the small and the large wave tank

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Figure 8

Comparison of wave simulation in the small wave basin (flap type wave generator, d=0.4m) to the same (scaled) wave in the large wave basin piston type wave generator, d=1.5m) after transformation of the control signals

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Figure 9

Optimized and scaled wave train, measured in the large wave tank (scale 1:80). The embedded rogue wave (red circles) satisfies the predefined target parameters.



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