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Active Learning–Based Estimation of Extreme Roll Motion in Beam Seas with Supervised Dimensionality Reduction and Gradient Approximation
Publisher: American Society of Civil Engineers
Abstract: AbstractAn efficient method is presented for estimating extreme nonlinear roll motion of a
ship in beam seas in a given short-term sea state. With the aim of reducing the number
of numerical simulations for roll motion ...
Uncertainty-Aware Efficient Estimation of the Probability Density Function for Excessive Rolling of a Ship
Publisher: American Society of Civil Engineers
Abstract: AbstractThis paper proposes a methodology to efficiently quantify an uncertainty in the probability
density function (PDF) of excessive rolling of a ship. To this end, the Bayesian inference
scheme is introduced to estimate ...
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