Method for calculating multiyear return period wave height of self-affine fractal on basis of Hurst rule

Abstract

The invention provides a method for calculating a multiyear return period wave height of a self-affine fractal on the basis of the Hurst rule. The method comprises the following steps: a, determining a period, periodically acquiring wave height extreme value data and analyzing the wave height extreme value data by utilizing a rescaled range analysis method, wherein the wave height extreme value data meets the Hurst rule; b, according to an analysis result, acquiring parameters of a self-affine fractal model by a least square method; c, calculating the multiyear return period wave height by utilizing the self-affine fractal model. Compared with a calculating result obtained by a conventional method, a calculating result obtained by the method provided by the invention has the advantage that when a designed wave height calculation return period is long, compared with a designed wave height calculated by the conventional method, the designed multiyear return period wave height calculated by the method is more accurate and reliable in obtained result.

Description

technical field [0001] The invention relates to the ocean field, in particular to a method for calculating the once-in-a-year wave height based on Hurst's law self-affine fractal. Background technique [0002] In marine and coastal engineering and coastal disaster prevention, it is of great significance to reasonably and accurately select the design parameters of marine environmental conditions for the design of marine and coastal engineering to calculate the return period level of the multi-year return period and the effective early warning of coastal disaster prevention. In recent years, people generally use the annual extremum method to calculate the design wave height once in many years in projects such as marine engineering, water conservancy engineering, and coastal nuclear power plants. Gumbel distribution, Weibull distribution, Pearson-III distribution, etc. are widely used in domestic hydrological circles. These methods have been successfully applied to engineering ...

AI Technical Summary

Problems solved by technology

Gumbel distribution, Weibull distribution, Pearson-III distribution, etc. are widely used in domestic hydrological circles. These methods have been successfully applied to engineering construction, but they all have a significant shortcoming: these methods are all a priori, that is, When using these methods, we assume that the measured annual extreme wave heights conform to our artificially selected probability distribution curve through the line fitting method, and then use our selected distribution to fit the annual extreme value wave height data, and then the cumulative distribution obtained by fitting The curve is

Images