Estimation and Modeling of Fluctuating Wind Amplitude and Phase Spectrum Using APES Algorithm Based on Field Monitored Data
Joint Authors
Yan, Xing-Fei
Cheng, Wei
Wang, Xiang-jie
Dan, Dan-Hui
Source
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-04-11
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Abstract EN
The fluctuating wind power spectrum (FWPS) in given specifications could only represent the second-order probabilistic characteristic, which indicates that it is not capable of fully expressing the stochastic wind field.
Estimation and modeling of the fluctuating wind amplitude spectrum (FWAS) as well as the fluctuating wind phase spectrum (FWPhS) by using measured wind velocity data can make up for the deficiencies mentioned above.
A high-resolution nonparametric spectral estimation algorithm—amplitude and phase estimation (APES)—is used to estimate the FWAS and the FWPhS, using the field measured wind velocity data of a certain cable-stayed bridge in Shanghai, China.
An empirical expression (eFWAS) is introduced by dimensional analysis to model the random FWAS, and its specific Davenport form is proposed according to field measured data.
The parameters of the Davenport eFWAS model are estimated by using the above measured FWAS, and three specific applications of this model are put forward when different known conditions are met.
Compared with the measured FWAS, the stochastic Davenport eFWAS model proposed in this paper can accurately describe the statistical properties of the local wind field and improve the modeling accuracy of the FWAS, which is important in antiwind structural design and safety assessment.
American Psychological Association (APA)
Dan, Dan-Hui& Wang, Xiang-jie& Yan, Xing-Fei& Cheng, Wei. 2018. Estimation and Modeling of Fluctuating Wind Amplitude and Phase Spectrum Using APES Algorithm Based on Field Monitored Data. Shock and Vibration،Vol. 2018, no. 2018, pp.1-14.
https://search.emarefa.net/detail/BIM-1215353
Modern Language Association (MLA)
Dan, Dan-Hui…[et al.]. Estimation and Modeling of Fluctuating Wind Amplitude and Phase Spectrum Using APES Algorithm Based on Field Monitored Data. Shock and Vibration No. 2018 (2018), pp.1-14.
https://search.emarefa.net/detail/BIM-1215353
American Medical Association (AMA)
Dan, Dan-Hui& Wang, Xiang-jie& Yan, Xing-Fei& Cheng, Wei. Estimation and Modeling of Fluctuating Wind Amplitude and Phase Spectrum Using APES Algorithm Based on Field Monitored Data. Shock and Vibration. 2018. Vol. 2018, no. 2018, pp.1-14.
https://search.emarefa.net/detail/BIM-1215353
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1215353