Abstract
An approach to generate the extreme value distribution of parametric roll in near head sea conditions is presented using a Design Load Generator (DLG) , a process to approximate the extreme value distribution of a Gaussian random variable. Statistics of the roll amplitudes of a Joint High Speed Sealift (JHSS) concept hull calculated from the DLG and the Large Amplitude Motion Program (LAMP) are compared in Weibull space with the results from limited Monte Carlo simulations. The interpretation of the exposure period of the DLG results is included.
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References
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Acknowledgements
The authors would like to gratefully acknowledge the support of the Office of Naval Research grants: “Design Loads Generator - Ship Design and Simulation Tools for Complex Marine Systems”, Award Number N00014-08-1-0594, under the direction of Kelly Cooper and “Support for the Theory Advisory Panel (TAP)”, Award Number N00014-09-1-0978, under the direction of Dr. Pat Purtell. Special thanks go to William Belknap and Allen Engle at NSWCCD for JHSS hull geometry and technical reports on statistical techniques; Woei-Min Lin and Ken Weems from SAIC for technical support on LAMP; and Matt Collette from the University of Michigan.
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Kim, DH., Troesch, A.W. (2019). Stochastic Wave Inputs for Extreme Roll in Near Head Seas. In: Belenky, V., Spyrou, K., van Walree, F., Almeida Santos Neves, M., Umeda, N. (eds) Contemporary Ideas on Ship Stability. Fluid Mechanics and Its Applications, vol 119. Springer, Cham. https://doi.org/10.1007/978-3-030-00516-0_23
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