Fatigue reliability analysis of wind turbine tower under random wind load. (November 2020)
- Record Type:
- Journal Article
- Title:
- Fatigue reliability analysis of wind turbine tower under random wind load. (November 2020)
- Main Title:
- Fatigue reliability analysis of wind turbine tower under random wind load
- Authors:
- Fu, Bing
Zhao, Jianbin
Li, Bingqing
Yao, Jing
Mouafo Teifouet, Armand Robinson
Sun, Liyun
Wang, Zhenyu - Abstract:
- Highlights: Wind speed is expanded by the orthogonal expansion method. Fatigue damage is calculated considering the speed and direction of wind load. The probability density evolution equation is solved to estimate fatigue reliability. A virtual stochastic process is constructed in the course of solving the evolution equation. Abstract: It is important to understand the vibration response and fatigue characteristics of the wind turbine structure. The fatigue reliability of the tower flange and bolt is studied in this paper. Firstly, by using the orthogonal expansion method and the Numerical-Theoretical method of random dynamic action, the random fluctuating wind field is expanded into a set of scattered points to calculate the wind load. The numerical calculation of the dynamic response of the wind turbine is verified with the measured data. Then, a fatigue probability calculation method based on the probability density evolution method is proposed. It is an effective method to substitute the fatigue damage D obtained by a rain flow counting method into the probability density evolution equation to solve the probability density of fatigue damage. In the end, a 1.5 MW wind turbine tower was taken as an example for analyzing the fatigue damage of its flange and bolt which considers the wind speed and wind direction distribution. By using the probability density evolution method, the evolution probability density curve clusters of the structural responses can be givenHighlights: Wind speed is expanded by the orthogonal expansion method. Fatigue damage is calculated considering the speed and direction of wind load. The probability density evolution equation is solved to estimate fatigue reliability. A virtual stochastic process is constructed in the course of solving the evolution equation. Abstract: It is important to understand the vibration response and fatigue characteristics of the wind turbine structure. The fatigue reliability of the tower flange and bolt is studied in this paper. Firstly, by using the orthogonal expansion method and the Numerical-Theoretical method of random dynamic action, the random fluctuating wind field is expanded into a set of scattered points to calculate the wind load. The numerical calculation of the dynamic response of the wind turbine is verified with the measured data. Then, a fatigue probability calculation method based on the probability density evolution method is proposed. It is an effective method to substitute the fatigue damage D obtained by a rain flow counting method into the probability density evolution equation to solve the probability density of fatigue damage. In the end, a 1.5 MW wind turbine tower was taken as an example for analyzing the fatigue damage of its flange and bolt which considers the wind speed and wind direction distribution. By using the probability density evolution method, the evolution probability density curve clusters of the structural responses can be given accurately and quantitatively; thus, the reliability of the structure under random load can be conveniently obtained. … (more)
- Is Part Of:
- Structural safety. Volume 87(2020)
- Journal:
- Structural safety
- Issue:
- Volume 87(2020)
- Issue Display:
- Volume 87, Issue 2020 (2020)
- Year:
- 2020
- Volume:
- 87
- Issue:
- 2020
- Issue Sort Value:
- 2020-0087-2020-0000
- Page Start:
- Page End:
- Publication Date:
- 2020-11
- Subjects:
- Wind turbines -- Probability density evolution -- Fatigue reliability -- Orthogonal expansion -- Rain flow counting method
Structural stability -- Periodicals
Safety factor in engineering -- Periodicals
Reliability (Engineering) -- Periodicals
Constructions -- Stabilité -- Périodiques
Coefficient de sécurité en ingénierie -- Périodiques
Fiabilité -- Périodiques
620.86 - Journal URLs:
- http://www.sciencedirect.com/science/journal/01674730 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.strusafe.2020.101982 ↗
- Languages:
- English
- ISSNs:
- 0167-4730
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 8478.550000
British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 14005.xml