Abstract

A statistical validation of the EPOT method for estimating the probability of large roll angle for a ship in irregular ocean waves is described in this chapter. EPOT is a numerical extrapolation scheme based on modelling the tail of the roll distribution while accounting for the nonlinearity of the roll response. Fast volume-based numerical simulations create a very large sample of roll events in realistic random irregular wave conditions, which establish a “true” value of the frequency of large-roll events. The EPOT method is applied to a number of small subsets of this data to estimate the probability of a large roll angle encounter. The EPOT estimates are compared to the “true” value in order to judge the validity of the estimate. This chapter describes a set of “true” value simulations, reviews the essence of the EPOT method, and presents the statistical validation and performance assessment of EPOT with two models for the tail of roll distribution.

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