Abstract

Wind turbine tower vibration parameters are critical for design and maintenance of wind farms. In this paper, measurement campaigns of two in-service 65-m tall wind turbine towers are investigated. Different field vibration measurements with contact and noncontact sensors, including integrated circuits piezoelectric accelerometers, passive servovelocimeters, a laser Doppler vibrometer, and an interferometric radar, were conducted in the campaigns. Frequencies, damping ratios, and mode shapes were identified based on the measurements by use of a stochastic subspace identification method. Performances of the contact and noncontact sensors were compared in time and frequency domains. Also, time-frequency spectra were used to figure out noncontact measurement sections with high quality. Because the superior frequency ranges of contact and noncontact sensors are different, a data fusion method, which can take advantage of both types of sensors, was introduced. The practicality of field vibration measurements for modal parameter identification is discussed, and the results are compared with those from simplified finite-element models of the tested wind turbine towers.

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Acknowledgments

The authors would like to acknowledge the support from International Collaboration Program of Science and Technology Commission of Ministry of Science and Technology, China (2016YFE0105600); International Collaboration Program of Science and Technology Commission of Shanghai Municipality and Sichuan Province (16510711300 and 18GJHZ0111); 111 Project (B18062); National Natural Science Foundation of China (U1710111 and 51878426); Fundamental Research Funds for Central Universities of China; National Science Foundation (CMMI-1763024 and CMMI-1762917); and China Scholarship Council.

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Go to Journal of Performance of Constructed Facilities
Journal of Performance of Constructed Facilities
Volume 34Issue 1February 2020

History

Received: Jan 2, 2019
Accepted: May 20, 2019
Published online: Nov 12, 2019
Published in print: Feb 1, 2020
Discussion open until: Apr 12, 2020

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Ph.D. Student, Dept. of Disaster Mitigation for Structures, Tongji Univ., Shanghai 200092, China. Email: [email protected]
Professor, Ministry of Education Key Laboratory of Deep Underground Science and Engineering, College of Architecture and Environment, Sichuan Univ., Chengdu 610065, China; Professor, Dept. of Civil Engineering and Institute for Disaster Management and Reconstruction, Sichuan Univ., Chengdu 610065, China (corresponding author). ORCID: https://orcid.org/0000-0002-0193-6076. Email: [email protected]
Yongfeng Xu [email protected]
Assistant Professor, Dept. of Mechanical and Materials Engineering, College of Applied Science and Engineering, Univ. of Cincinnati, Cincinnati, OH 45221. Email: [email protected]
Weidong Zhu [email protected]
Professor, Dept. of Mechanical Engineering, Univ. of Maryland, Baltimore, Baltimore, MD 21042. Email: [email protected]
Wensheng Lu [email protected]
Professor, Dept. of Disaster Mitigation for Structures, Tongji Univ., Shanghai 200092, China. Email: [email protected]
Yuanfeng Shi [email protected]
Associate Professor, Ministry of Education Key Laboratory of Deep Underground Science and Engineering, College of Architecture and Environment, Sichuan Univ., Chengdu 610065, China. Email: [email protected]
Assistant Professor, Ministry of Education Key Laboratory of Deep Underground Science and Engineering, College of Architecture and Environment, Sichuan Univ., Chengdu 610065, China. Email: [email protected]
Songtao Xue [email protected]
Professor, Dept. of Disaster Mitigation for Structures, Tongji Univ., Shanghai 200092, China. Email: [email protected]
Karen Faulkner [email protected]
Ph.D. Student, College of Engineering, Mathematics and Physical Sciences, Univ. of Exeter, Exeter, Devon EX4 4QF, UK. Email: [email protected]

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