Non-Gaussian fluctuating wind speed prediction method based on a hybrid intelligent algorithm

Abstract

The invention discloses a non-Gaussian fluctuating wind speed prediction method based on a hybrid intelligent algorithm. The method comprises the following steps: generating a large-span spherical roof structure spatial point non-Gaussian fluctuating wind speed sample through JT transformation and AR model simulation, and dividing the non-Gaussian fluctuating wind speed of each spatial point into a training set and a test set, and performing normalization processing before each simulation test; respectively deducing kernel parameter combinations consisting of kernel parameters and penalty factors searched based on cuckoo and particle swarm intelligent algorithms; by using a CS+PSO-LSSVM learning machine, transforming a non-Gaussian fluctuating wind speed training set sample into a kernel function matrix, mapping the kernel function matrix to a high-latitude feature space, then inputting the sample data and mapping it to a high-dimensional feature space through a nonlinear function; testing multiple linear algorithms on the kernel function matrix optimized by a hybrid intelligent algorithm, and acquiring a non-linear model of the non-Gaussian fluctuating wind speed training sample; and predicting the non-Gaussian fluctuating wind speed test set sample by using the non-linear model.

Description

technical field [0001] The invention belongs to the technical field of wind speed prediction, in particular to a method for predicting non-Gaussian fluctuating wind speed based on a hybrid intelligent algorithm. Background technique [0002] With the rapid development of science and technology, it is also constantly affecting the transformation of the concept of the construction industry and the innovation of technology. As a large-span structure, it is widely used among many building structures, and its structure is complex and the characteristics of the construction environment are changeable. It has attracted the attention of people from all walks of life, and overseas scholars are striving to pursue the goals of light weight, high flexibility and low damping for long-span structures. The main problems faced in structural wind engineering are the wind-induced dynamic response due to the large span and high flexibility of the structure, as well as improving the estimation,...

AI Technical Summary

Problems solved by technology

Due to the uneven distribution of positive and negative wind pressure areas on the top of the large-span structure, the pulsating wind will cause the building structure to vibrate when it is severe, and the shedding of the surface wind pressure vortex will cause deformation vibration, and in extreme cases, it will cause deformation or collapse of the building surface material Serious damage such as severe damage; structural dynamic displacement exceeding a certain limit will cause damage to building structural components; large surface vibrations will cause fatigue damage to external components and appendages

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