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Wind field characteristic statistical distributing model building method based on genetic algorithm

A technique of statistical distribution and model building, applied in genetic models, genetic rules, calculations, etc., can solve problems that are not independent of each other

Inactive Publication Date: 2016-08-03
ZHEJIANG UNIV
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Problems solved by technology

However, wind speed and wind direction are not independent of each other, and simple multiplication cannot correctly obtain the joint distribution function of wind speed and wind direction, then the joint distribution of wind speed and wind direction can be expressed as the marginal distribution function of two variables and the distribution function of the correlation coefficient of two variables product

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  • Wind field characteristic statistical distributing model building method based on genetic algorithm
  • Wind field characteristic statistical distributing model building method based on genetic algorithm
  • Wind field characteristic statistical distributing model building method based on genetic algorithm

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Embodiment Construction

[0081] The technical solution of the present invention will be further described below with reference to the accompanying drawings.

[0082] A method for establishing a statistical distribution model of wind field characteristics based on a genetic algorithm according to the present invention comprises the following steps:

[0083] A. Process the original wind speed and direction data;

[0084] A1. With 10 minutes as a time interval, find the average value of the wind speed and wind direction data within ten minutes;

[0085] A2. Store the wind speed and wind direction data in an excel or matlab file. The wind speed is stored in a column, and the wind direction is stored in a column, and the wind speed and wind direction data within the same time interval are in the same row;

[0086] B. Estimate the parameters in the wind speed probability density function;

[0087] B1. The wind speed is between 0m / s and 20m / s. Take an interval [0, 20], its lower limit is slightly smaller ...

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Abstract

The invention provides a wind field characteristic statistical distributing model building method based on genetic algorithm. The implementation process is as follows: A, processing original wind speed and wind direction data; B, estimating parameters in a wind speed probability density function; C, estimating parameters in a wind direction probability density function; D, estimating parameters in a related coefficient probability density function; E, obtaining a wind speed and wind direction joint distribution function.

Description

technical field [0001] The invention relates to the fields of structural health monitoring, structural wind engineering, statistical mathematical modeling, etc., and specifically estimates wind speed and wind direction joint distribution parameters and establishes probability distribution models based on genetic algorithms. Background technique [0002] As bridges continue to grow toward larger spans, it has become increasingly important to consider the effects of wind on bridges. Studying the static effect and dynamic response of the bridge structure under various possible wind field conditions at the bridge site can provide wind resistance schemes for the design and construction of new bridges. When studying the effect of wind on bridges, it is necessary to consider the structural characteristics of the bridge, the wind characteristics and the interaction between wind and structure, and the analysis of the natural wind characteristics near the ground is a very basic and im...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/50G06N3/12
CPCG06F30/13G06N3/126
Inventor 叶肖伟奚培森苏有华
Owner ZHEJIANG UNIV
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