Novel Reliability Method Validation for Floating Wind Turbines
Wind turbines and associated parts are susceptible to cyclic stresses, including torque, bending, and longitudinal stress, and twisting moments. Therefore, research on the resilience of dynamic systems under such high loads is crucial for design and future risk‐free operations. The method described...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Wiley-VCH
2023-08-01
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| Series: | Advanced Energy & Sustainability Research |
| Subjects: | |
| Online Access: | https://doi.org/10.1002/aesr.202200177 |
| _version_ | 1797749132120555520 |
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| author | Oleg Gaidai Fang Wang Yihan Xing Rajiv Balakrishna |
| author_facet | Oleg Gaidai Fang Wang Yihan Xing Rajiv Balakrishna |
| author_sort | Oleg Gaidai |
| collection | DOAJ |
| description | Wind turbines and associated parts are susceptible to cyclic stresses, including torque, bending, and longitudinal stress, and twisting moments. Therefore, research on the resilience of dynamic systems under such high loads is crucial for design and future risk‐free operations. The method described in this study is beneficial for multidimensional structural responses that have undergone sufficient numerical simulation or measurement. In contrast to established dependability methodologies, the unique technique does not need to restart the numerical simulation each time the system fails. Herein, it is demonstrated that it is also possible to accurately predict the probability of a system failure in the event of a measurable structural reaction. In contrast to well‐established bivariate statistical methods, which are known to predict extreme response levels for 2D systems accurately, this study validates a novel structural reliability method that is particularly suitable for multidimensional structural responses. In contrast to conventional methods, the novel reliability approach does not invoke a multidimensional reliability function in the Monte Carlo numerical simulation case. As demonstrated in this study, it is also possible to accurately anticipate the likelihood of a system failure in the case of a measurable structural reaction. |
| first_indexed | 2024-03-12T16:14:49Z |
| format | Article |
| id | doaj.art-c3efdb60c0474de0b234c86a321779da |
| institution | Directory Open Access Journal |
| issn | 2699-9412 |
| language | English |
| last_indexed | 2024-03-12T16:14:49Z |
| publishDate | 2023-08-01 |
| publisher | Wiley-VCH |
| record_format | Article |
| series | Advanced Energy & Sustainability Research |
| spelling | doaj.art-c3efdb60c0474de0b234c86a321779da2023-08-09T04:48:19ZengWiley-VCHAdvanced Energy & Sustainability Research2699-94122023-08-0148n/an/a10.1002/aesr.202200177Novel Reliability Method Validation for Floating Wind TurbinesOleg Gaidai0Fang Wang1Yihan Xing2Rajiv Balakrishna3Shanghai Engineering Research Centre of Marine Renewable Energy College of Engineering Science and Technology Shanghai Ocean University Shanghai 201306 ChinaShanghai Engineering Research Centre of Marine Renewable Energy College of Engineering Science and Technology Shanghai Ocean University Shanghai 201306 ChinaDepartment of Mechanical and Structural Engineering and Materials Science University of Stavanger 4021 Stavanger NorwayDepartment of Mechanical and Structural Engineering and Materials Science University of Stavanger 4021 Stavanger NorwayWind turbines and associated parts are susceptible to cyclic stresses, including torque, bending, and longitudinal stress, and twisting moments. Therefore, research on the resilience of dynamic systems under such high loads is crucial for design and future risk‐free operations. The method described in this study is beneficial for multidimensional structural responses that have undergone sufficient numerical simulation or measurement. In contrast to established dependability methodologies, the unique technique does not need to restart the numerical simulation each time the system fails. Herein, it is demonstrated that it is also possible to accurately predict the probability of a system failure in the event of a measurable structural reaction. In contrast to well‐established bivariate statistical methods, which are known to predict extreme response levels for 2D systems accurately, this study validates a novel structural reliability method that is particularly suitable for multidimensional structural responses. In contrast to conventional methods, the novel reliability approach does not invoke a multidimensional reliability function in the Monte Carlo numerical simulation case. As demonstrated in this study, it is also possible to accurately anticipate the likelihood of a system failure in the case of a measurable structural reaction.https://doi.org/10.1002/aesr.202200177floating wind turbinesgreen energyoffshore windreliabilitysustainability |
| spellingShingle | Oleg Gaidai Fang Wang Yihan Xing Rajiv Balakrishna Novel Reliability Method Validation for Floating Wind Turbines Advanced Energy & Sustainability Research floating wind turbines green energy offshore wind reliability sustainability |
| title | Novel Reliability Method Validation for Floating Wind Turbines |
| title_full | Novel Reliability Method Validation for Floating Wind Turbines |
| title_fullStr | Novel Reliability Method Validation for Floating Wind Turbines |
| title_full_unstemmed | Novel Reliability Method Validation for Floating Wind Turbines |
| title_short | Novel Reliability Method Validation for Floating Wind Turbines |
| title_sort | novel reliability method validation for floating wind turbines |
| topic | floating wind turbines green energy offshore wind reliability sustainability |
| url | https://doi.org/10.1002/aesr.202200177 |
| work_keys_str_mv | AT oleggaidai novelreliabilitymethodvalidationforfloatingwindturbines AT fangwang novelreliabilitymethodvalidationforfloatingwindturbines AT yihanxing novelreliabilitymethodvalidationforfloatingwindturbines AT rajivbalakrishna novelreliabilitymethodvalidationforfloatingwindturbines |