Fatigue prediction of high-strength bolts in wind turbines
The flange plate and blade root hub of wind turbines are connected by high-strength bolts, and the collapse of most wind turbine towers is caused by the fatigue of the connecting bolts. In order to reduce the occurrence of such tower collapse accidents, a new method for analyzing and predicting bolt...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | Chinese |
| Published: |
National Computer System Engineering Research Institute of China
2024-02-01
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| Series: | Dianzi Jishu Yingyong |
| Subjects: | |
| Online Access: | http://www.chinaaet.com/article/3000163478 |
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| _version_ | 1839651623930953728 |
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| author | Zheng Qishan Zhu Shaohong Chen Changhong Chang Haiqing Yan Xizhong Wei Chenxi |
| author_facet | Zheng Qishan Zhu Shaohong Chen Changhong Chang Haiqing Yan Xizhong Wei Chenxi |
| author_sort | Zheng Qishan |
| collection | DOAJ |
| description | The flange plate and blade root hub of wind turbines are connected by high-strength bolts, and the collapse of most wind turbine towers is caused by the fatigue of the connecting bolts. In order to reduce the occurrence of such tower collapse accidents, a new method for analyzing and predicting bolt fatigue damage is proposed. For high-strength connecting bolts of 2.0 MW wind turbine generators, ultrasonic probes and temperature sensors are used to collect bolt data and obtain random stress spectra of the bolts. Then the stress spectrum is modified based on the rain flow counting method and Goodman formula, and the stress cycle data are extracted. Finally, based on the S-N curve of bolt material and Miner's linear cumulative damage theory, a bolt fatigue prediction model is constructed. The experimental results show that the estimated bolt fatigue damage is far less than the bolt fatigue limit, which meets the design life requirements of the wind turbine. |
| format | Article |
| id | doaj-art-16a24c696a2c46a09cc72a1b8cfebc7c |
| institution | Matheson Library |
| issn | 0258-7998 |
| language | zho |
| publishDate | 2024-02-01 |
| publisher | National Computer System Engineering Research Institute of China |
| record_format | Article |
| series | Dianzi Jishu Yingyong |
| spelling | doaj-art-16a24c696a2c46a09cc72a1b8cfebc7c2025-06-26T02:12:08ZzhoNational Computer System Engineering Research Institute of ChinaDianzi Jishu Yingyong0258-79982024-02-01502485310.16157/j.issn.0258-7998.2343553000163478Fatigue prediction of high-strength bolts in wind turbinesZheng Qishan0Zhu Shaohong1Chen Changhong2Chang Haiqing3Yan Xizhong4Wei Chenxi5Fujian Guodian Wind Power Generation Co.， Ltd.， Fuzhou 350014， ChinaFujian Guodian Wind Power Generation Co.， Ltd.， Fuzhou 350014， ChinaFujian Guodian Wind Power Generation Co.， Ltd.， Fuzhou 350014， ChinaXiamen University of Technology， Xiamen 361024， ChinaFujian Guodian Wind Power Generation Co.， Ltd.， Fuzhou 350014， ChinaFujian Guodian Wind Power Generation Co.， Ltd.， Fuzhou 350014， ChinaThe flange plate and blade root hub of wind turbines are connected by high-strength bolts, and the collapse of most wind turbine towers is caused by the fatigue of the connecting bolts. In order to reduce the occurrence of such tower collapse accidents, a new method for analyzing and predicting bolt fatigue damage is proposed. For high-strength connecting bolts of 2.0 MW wind turbine generators, ultrasonic probes and temperature sensors are used to collect bolt data and obtain random stress spectra of the bolts. Then the stress spectrum is modified based on the rain flow counting method and Goodman formula, and the stress cycle data are extracted. Finally, based on the S-N curve of bolt material and Miner's linear cumulative damage theory, a bolt fatigue prediction model is constructed. The experimental results show that the estimated bolt fatigue damage is far less than the bolt fatigue limit, which meets the design life requirements of the wind turbine.http://www.chinaaet.com/article/3000163478wind turbineshigh strength boltss-n curveminer theoryfatigue prediction |
| spellingShingle | Zheng Qishan Zhu Shaohong Chen Changhong Chang Haiqing Yan Xizhong Wei Chenxi Fatigue prediction of high-strength bolts in wind turbines Dianzi Jishu Yingyong wind turbines high strength bolts s-n curve miner theory fatigue prediction |
| title | Fatigue prediction of high-strength bolts in wind turbines |
| title_full | Fatigue prediction of high-strength bolts in wind turbines |
| title_fullStr | Fatigue prediction of high-strength bolts in wind turbines |
| title_full_unstemmed | Fatigue prediction of high-strength bolts in wind turbines |
| title_short | Fatigue prediction of high-strength bolts in wind turbines |
| title_sort | fatigue prediction of high strength bolts in wind turbines |
| topic | wind turbines high strength bolts s-n curve miner theory fatigue prediction |
| url | http://www.chinaaet.com/article/3000163478 |
| work_keys_str_mv | AT zhengqishan fatiguepredictionofhighstrengthboltsinwindturbines AT zhushaohong fatiguepredictionofhighstrengthboltsinwindturbines AT chenchanghong fatiguepredictionofhighstrengthboltsinwindturbines AT changhaiqing fatiguepredictionofhighstrengthboltsinwindturbines AT yanxizhong fatiguepredictionofhighstrengthboltsinwindturbines AT weichenxi fatiguepredictionofhighstrengthboltsinwindturbines |