A very flexible bivariate joint probality distribution based on Copula function of wave height and wind speed is applied in this paper for use in joint statistical analysis of winds and waves. Bivariate Normal Copula and four kinds of common-used Archimedean Copulas (Clayton Copula, Frank Copula, Gumbel-Hougaard Copula and Ali-Mikhail-Haq Copula) are presented here to construct joint probability distribution of annual maximum wave height and corresponding wind speed on a jacket platform in Bohai Sea, which are applied to verify the efficiency of these joint distribution models. Besides, considering constraint conditions of offshore platform responses (base shear, capsizing moment and deck displacement), the joint design criteria of wave height and wind speed is built. The joint probability design based on Copula decreases the design criterion of ocean environmental factors.
Joint Return Value Estimation of Wind Speeds and Wave Heights Based on Copula Functions
Zhai, Jinjin, Dong, Sheng, and Qilin Yin. "Joint Return Value Estimation of Wind Speeds and Wave Heights Based on Copula Functions." Paper presented at the The Eleventh ISOPE Pacific/Asia Offshore Mechanics Symposium, Shanghai, China, October 2014.
Download citation file: