TECHNICAL PAPERS
Jun 13, 2003

Statistical Modeling of Overtopping for Extreme Waves on Fixed Deck

Publication: Journal of Waterway, Port, Coastal, and Ocean Engineering
Volume 129, Issue 4

Abstract

A statistical model is developed to predict wave overtopping of extreme waves on a fixed deck. The probability density function for the volume of overtopping water is based on the truncated Weibull distribution with the assumption of a local sinusoidal wave profile. The sensitivity to the wave nonlinearity parameter and deck clearance is discussed. The statistical model is compared to laboratory data for the instantaneous free surface elevation measured in front of a fixed deck and the instantaneous free surface elevation and overtopping rate measured at the leading edge of the deck. The statistical theory compared well with the measured exceedance probability seaward of the deck. Conditional sampling of the crest heights seaward of the deck gave a normalized probability distribution similar to that of the maximum water level measured on the deck for each overtopping event. The model prediction of the exceedance probability of deck overtopping gave very good agreement for large overtopping values.

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Published In

Go to Journal of Waterway, Port, Coastal, and Ocean Engineering
Journal of Waterway, Port, Coastal, and Ocean Engineering
Volume 129Issue 4July 2003
Pages: 165 - 173

History

Received: Dec 21, 2001
Accepted: Dec 30, 2002
Published online: Jun 13, 2003
Published in print: Jul 2003

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Authors

Affiliations

Nobuhito Mori
Senior Researcher, Dept. of Fluid Mechanics, Central Research Institute of Electric Power Industry (CRIEPI), 1646 Abiko, Abiko, Chiba 270-1194, Japan; formerly, Visiting Lecturer, Ocean Engineering Program, Dept. of Civil Engineering, Texas A&M Univ., College Station, TX 77843-3136.
Daniel T. Cox
Associate Professor, Dept. of Civil, Construction and Environmental Engineering, 202 Apperson Hall, Oregon State Univ., Corvallis, OR 97331-2302; formerly, Associate Professor, Ocean Engineering Program, Dept. of Civil Engineering, Texas A&M Univ., College Station, TX 77843-3136.

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