In this paper, we propose a new method to estimate the wave height of a specifi c return period based on the Hurst rule and a self-affi ne fractal formula. A detailed description of our proposed model is presented in ...In this paper, we propose a new method to estimate the wave height of a specifi c return period based on the Hurst rule and a self-affi ne fractal formula. A detailed description of our proposed model is presented in this paper. We use the proposed model to analyze wave height data recorded along the coast of Chaolian Island from 1963 to 1989. The results show that the performance of our proposed model in estimating design wave heights is superior to traditional models.展开更多
基金Supported by the National Natural Science Foundation of China’s“Study on Multi-objective Four-layer Nested Probability Model(MOFLNPM)and its Application to Risk Assessment for Coastal Engineering”(No.51379195)the Shandong Province Natural Science“Study on the Risk Assessments and Statistical Analysis of Marine Engineering based on Multi-target Three-level Nested Statistical Model”(No.ZR2013EEM034)+1 种基金the National Natural Science Foundation of China(No.41476078)the Science Research Program of Zhejiang Province(No.2015C34013)
文摘In this paper, we propose a new method to estimate the wave height of a specifi c return period based on the Hurst rule and a self-affi ne fractal formula. A detailed description of our proposed model is presented in this paper. We use the proposed model to analyze wave height data recorded along the coast of Chaolian Island from 1963 to 1989. The results show that the performance of our proposed model in estimating design wave heights is superior to traditional models.
