Deck slamming phenomenon is one of the most critical factors in the design of column-stabilizing platforms. However, the prediction of its occurrence is not simple due to nonlinear effects in wave elevation and platform motion. In this paper, a stochastic approach is proposed to predict efficiently the probability of deck-slamming occurence for offshore structures. The present approach is based on the assumption of potential flow up to the second order and has four steps: representing relative wave elevation as two-term Volterra series, solving the eigenvalue problem, formulating the probability distribution of peaks applying the Hermite-moment method, and predicting the deck-slamming occurrence. Tension leg platform(TLP) and semi-submersible platform are considered as example models for the application of the present method, and the probability of deck slamming on various points is investigated for several ocean environmental conditions.

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