Fluctuating wind velocity simulation method based on data driving

Abstract

The invention provides a fluctuating wind velocity simulation method based on a data driving technology. The method comprises the steps that first, a certain number of fluctuating wind velocities, distributed in the height direction, of a super high-rise building are obtained with an AR method through numerical simulation and serve as sample data, then, three technological methods based on data driving including a BP neural network, an SVM and an LS-SVM are used for learning and training the sample data in some height areas with an interpolation method, a regression forecasting model is built, and the fluctuating wind velocities of other height areas are simulated and predicted. The correlation coefficient of a prediction simulation value and a target value (original data), a root-mean-square error and the time needed by simulation are adopted as evaluation indexes. Through comparison between the evaluation indexes, the result shows that the BP neural network is short in consumed time but poor in simulation accuracy; the SVM is high in simulation accuracy but high in time consumption; the LS-SVM is high in accuracy and short in consumed time.

Description

technical field [0001] The invention relates to a data-driven fluctuating wind speed simulation method. Background technique [0002] Wind load is one of the important design loads that cause engineering structures. For flexible structures such as tall, large, thin, and long, wind load often plays a major or even decisive role. Generally, the wind is divided into average wind and fluctuating wind for analysis. The fluctuating wind has random characteristics, which will cause the structure to undergo wind-induced vibration in the form of downwind vibration, cross-wind galloping, vortex shedding, torsional divergent vibration, and other coupled vibrations. Vibrate randomly. These forms of vibration not only affect the internal force distribution of the structure, but more importantly, will cause the structure to generate dynamic instability, thereby greatly reducing the actual ultimate bearing capacity of the structure. Therefore, it is extremely important to consider the dy...

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Problems solved by technology

[0005] The purpose of the present invention is to provide a data-driven fluctuating wind speed simulation method, so as to solve the problems of time-consuming and expensive wind speed samples obtained through actual strong wind records and wind tunnel experiments, and complicated testing methods.

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