X. W. Ye (Author), P. S. Xi (Author), Marko Nagode (Author)

Abstract

A statistical analysis of the wind speed and wind direction serves as a solid foundation for the wind-induced vibration analysis. The probabilistic modeling of wind speed and direction can effectively characterize the stochastic properties of wind field. The joint distribution model of wind speed and direction involves a circular distribution and has a multimodal characteristic. In this paper, the finite mixture distribution model is introduced and used to represent the joint distribution model that is comprised of the mixture Weibull distributions and von Mises distributions. An extended parameters estimation algorithm for multivariate and multimodal circular distributions is proposed to construct the joint distribution model. The proposed algorithm estimates the component parameters, mixture weight of each component and the number of components successively by an iterative process. The major improvement is accomplished by adding a circular distribution model. The effectiveness of the proposed algorithm is verified with numerical simulations and one-year field monitoring data and compared with the expectation maximization algorithm-based angular-linear approach in terms of the Akaike%s information criterion and computing time. The results indicate that the finite mixture model represents the joint distribution model of wind speed and direction well and that the proposed algorithm has a good and time-saving performance in parameter estimation for multivariate and multimodal models.

Keywords

structural health monitoring;wind field characteristics;joint probability density function;mixture estimation;REBMIX algorithm;

Data

Language: English
Year of publishing:
Typology: 1.01 - Original Scientific Article
Organization: UL FS - Faculty of Mechanical Engineering
UDC: 519.2(045)
COBISS: 16469019 Link will open in a new window
ISSN: 0141-0296
Views: 1901
Downloads: 566
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Other data

Secondary language: Slovenian
Secondary keywords: spremljanja stanja strukture;značilnosti polja vetra;povezana gostota porazdelitve verjetnosti;ocenjevanje mešanih porazdelitev;REBMIX algoritem;
Type (COBISS): Article
Embargo end date (OpenAIRE): 2021-02-08
Pages: str. 1134-1145
Issue: ǂVol. ǂ183
Chronology: Mar. 2019
DOI: 10.1016/j.engstruct.2018.08.035
ID: 11043018