Supporting Structure Optimization of Offshore Large-Scale Vertical Axis Wind Turbine Based On BESO Algorithm
The research on large-scale offshore vertical axis wind turbine is of great significance to the development of ocean wind energy. For the safety of wind power, it is very important to study the reasonable supporting structure of the large-scale wind turbine. In this paper, an supporting structure op...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
HE Wenjun, SU Jie, ZHOU Dai, HAN Zhaolong, BAO Yan, ZHAO Yongsheng, XU Yuwang, TU Jiahuang [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Chinesisch |
| Erschienen: |
2023 |
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| Schlagwörter: |
bidirectional evolutionary structural optimization (beso) algorithm |
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| Übergeordnetes Werk: |
In: Shanghai Jiaotong Daxue xuebao - Editorial Office of Journal of Shanghai Jiao Tong University, 2021, 57(2023), 2, Seite 127-137 |
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| Übergeordnetes Werk: |
volume:57 ; year:2023 ; number:2 ; pages:127-137 |
| Links: |
|---|
| DOI / URN: |
10.16183/j.cnki.jsjtu.2021.448 |
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DOAJ088350401 |
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| 520 | |a The research on large-scale offshore vertical axis wind turbine is of great significance to the development of ocean wind energy. For the safety of wind power, it is very important to study the reasonable supporting structure of the large-scale wind turbine. In this paper, an supporting structure optimization of a large-scale vertical axis wind turbine based on the variable deletion rate bidirectional evolutionary structural optimization (BESO) algorithm is proposed, and the reliability of structural optimization is verified by analyzing the dynamic response. The results show that this inverse proportional BESO algorithm can effectively improve the optimization iteration rate, and has a wide applicability to the optimal design of vertical axis wind turbine supporting structure. Compared with the initial structure, the wind-induced dynamic response of the topological new structure model under wind load is significantly reduced. The findings can be used to optimize the structural design of vertical axis wind turbine. | ||
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10.16183/j.cnki.jsjtu.2021.448 doi (DE-627)DOAJ088350401 (DE-599)DOAJa11d64ae0e0743b28f2f6ae00afe3385 DE-627 ger DE-627 rakwb chi TA1-2040 TP155-156 VM1-989 HE Wenjun, SU Jie, ZHOU Dai, HAN Zhaolong, BAO Yan, ZHAO Yongsheng, XU Yuwang, TU Jiahuang verfasserin aut Supporting Structure Optimization of Offshore Large-Scale Vertical Axis Wind Turbine Based On BESO Algorithm 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The research on large-scale offshore vertical axis wind turbine is of great significance to the development of ocean wind energy. For the safety of wind power, it is very important to study the reasonable supporting structure of the large-scale wind turbine. In this paper, an supporting structure optimization of a large-scale vertical axis wind turbine based on the variable deletion rate bidirectional evolutionary structural optimization (BESO) algorithm is proposed, and the reliability of structural optimization is verified by analyzing the dynamic response. The results show that this inverse proportional BESO algorithm can effectively improve the optimization iteration rate, and has a wide applicability to the optimal design of vertical axis wind turbine supporting structure. Compared with the initial structure, the wind-induced dynamic response of the topological new structure model under wind load is significantly reduced. The findings can be used to optimize the structural design of vertical axis wind turbine. vertical axis wind turbine bidirectional evolutionary structural optimization (beso) algorithm dynamic response vibration reduction Engineering (General). Civil engineering (General) Chemical engineering Naval architecture. Shipbuilding. Marine engineering In Shanghai Jiaotong Daxue xuebao Editorial Office of Journal of Shanghai Jiao Tong University, 2021 57(2023), 2, Seite 127-137 (DE-627)1680950819 10062467 nnns volume:57 year:2023 number:2 pages:127-137 https://doi.org/10.16183/j.cnki.jsjtu.2021.448 kostenfrei https://doaj.org/article/a11d64ae0e0743b28f2f6ae00afe3385 kostenfrei https://xuebao.sjtu.edu.cn/article/2023/1006-2467/1006-2467-57-2-127.shtml kostenfrei https://doaj.org/toc/1006-2467 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_2817 AR 57 2023 2 127-137 |
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10.16183/j.cnki.jsjtu.2021.448 doi (DE-627)DOAJ088350401 (DE-599)DOAJa11d64ae0e0743b28f2f6ae00afe3385 DE-627 ger DE-627 rakwb chi TA1-2040 TP155-156 VM1-989 HE Wenjun, SU Jie, ZHOU Dai, HAN Zhaolong, BAO Yan, ZHAO Yongsheng, XU Yuwang, TU Jiahuang verfasserin aut Supporting Structure Optimization of Offshore Large-Scale Vertical Axis Wind Turbine Based On BESO Algorithm 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The research on large-scale offshore vertical axis wind turbine is of great significance to the development of ocean wind energy. For the safety of wind power, it is very important to study the reasonable supporting structure of the large-scale wind turbine. In this paper, an supporting structure optimization of a large-scale vertical axis wind turbine based on the variable deletion rate bidirectional evolutionary structural optimization (BESO) algorithm is proposed, and the reliability of structural optimization is verified by analyzing the dynamic response. The results show that this inverse proportional BESO algorithm can effectively improve the optimization iteration rate, and has a wide applicability to the optimal design of vertical axis wind turbine supporting structure. Compared with the initial structure, the wind-induced dynamic response of the topological new structure model under wind load is significantly reduced. The findings can be used to optimize the structural design of vertical axis wind turbine. vertical axis wind turbine bidirectional evolutionary structural optimization (beso) algorithm dynamic response vibration reduction Engineering (General). Civil engineering (General) Chemical engineering Naval architecture. Shipbuilding. Marine engineering In Shanghai Jiaotong Daxue xuebao Editorial Office of Journal of Shanghai Jiao Tong University, 2021 57(2023), 2, Seite 127-137 (DE-627)1680950819 10062467 nnns volume:57 year:2023 number:2 pages:127-137 https://doi.org/10.16183/j.cnki.jsjtu.2021.448 kostenfrei https://doaj.org/article/a11d64ae0e0743b28f2f6ae00afe3385 kostenfrei https://xuebao.sjtu.edu.cn/article/2023/1006-2467/1006-2467-57-2-127.shtml kostenfrei https://doaj.org/toc/1006-2467 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_2817 AR 57 2023 2 127-137 |
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10.16183/j.cnki.jsjtu.2021.448 doi (DE-627)DOAJ088350401 (DE-599)DOAJa11d64ae0e0743b28f2f6ae00afe3385 DE-627 ger DE-627 rakwb chi TA1-2040 TP155-156 VM1-989 HE Wenjun, SU Jie, ZHOU Dai, HAN Zhaolong, BAO Yan, ZHAO Yongsheng, XU Yuwang, TU Jiahuang verfasserin aut Supporting Structure Optimization of Offshore Large-Scale Vertical Axis Wind Turbine Based On BESO Algorithm 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The research on large-scale offshore vertical axis wind turbine is of great significance to the development of ocean wind energy. For the safety of wind power, it is very important to study the reasonable supporting structure of the large-scale wind turbine. In this paper, an supporting structure optimization of a large-scale vertical axis wind turbine based on the variable deletion rate bidirectional evolutionary structural optimization (BESO) algorithm is proposed, and the reliability of structural optimization is verified by analyzing the dynamic response. The results show that this inverse proportional BESO algorithm can effectively improve the optimization iteration rate, and has a wide applicability to the optimal design of vertical axis wind turbine supporting structure. Compared with the initial structure, the wind-induced dynamic response of the topological new structure model under wind load is significantly reduced. The findings can be used to optimize the structural design of vertical axis wind turbine. vertical axis wind turbine bidirectional evolutionary structural optimization (beso) algorithm dynamic response vibration reduction Engineering (General). Civil engineering (General) Chemical engineering Naval architecture. Shipbuilding. Marine engineering In Shanghai Jiaotong Daxue xuebao Editorial Office of Journal of Shanghai Jiao Tong University, 2021 57(2023), 2, Seite 127-137 (DE-627)1680950819 10062467 nnns volume:57 year:2023 number:2 pages:127-137 https://doi.org/10.16183/j.cnki.jsjtu.2021.448 kostenfrei https://doaj.org/article/a11d64ae0e0743b28f2f6ae00afe3385 kostenfrei https://xuebao.sjtu.edu.cn/article/2023/1006-2467/1006-2467-57-2-127.shtml kostenfrei https://doaj.org/toc/1006-2467 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_2817 AR 57 2023 2 127-137 |
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10.16183/j.cnki.jsjtu.2021.448 doi (DE-627)DOAJ088350401 (DE-599)DOAJa11d64ae0e0743b28f2f6ae00afe3385 DE-627 ger DE-627 rakwb chi TA1-2040 TP155-156 VM1-989 HE Wenjun, SU Jie, ZHOU Dai, HAN Zhaolong, BAO Yan, ZHAO Yongsheng, XU Yuwang, TU Jiahuang verfasserin aut Supporting Structure Optimization of Offshore Large-Scale Vertical Axis Wind Turbine Based On BESO Algorithm 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The research on large-scale offshore vertical axis wind turbine is of great significance to the development of ocean wind energy. For the safety of wind power, it is very important to study the reasonable supporting structure of the large-scale wind turbine. In this paper, an supporting structure optimization of a large-scale vertical axis wind turbine based on the variable deletion rate bidirectional evolutionary structural optimization (BESO) algorithm is proposed, and the reliability of structural optimization is verified by analyzing the dynamic response. The results show that this inverse proportional BESO algorithm can effectively improve the optimization iteration rate, and has a wide applicability to the optimal design of vertical axis wind turbine supporting structure. Compared with the initial structure, the wind-induced dynamic response of the topological new structure model under wind load is significantly reduced. The findings can be used to optimize the structural design of vertical axis wind turbine. vertical axis wind turbine bidirectional evolutionary structural optimization (beso) algorithm dynamic response vibration reduction Engineering (General). Civil engineering (General) Chemical engineering Naval architecture. Shipbuilding. Marine engineering In Shanghai Jiaotong Daxue xuebao Editorial Office of Journal of Shanghai Jiao Tong University, 2021 57(2023), 2, Seite 127-137 (DE-627)1680950819 10062467 nnns volume:57 year:2023 number:2 pages:127-137 https://doi.org/10.16183/j.cnki.jsjtu.2021.448 kostenfrei https://doaj.org/article/a11d64ae0e0743b28f2f6ae00afe3385 kostenfrei https://xuebao.sjtu.edu.cn/article/2023/1006-2467/1006-2467-57-2-127.shtml kostenfrei https://doaj.org/toc/1006-2467 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_2817 AR 57 2023 2 127-137 |
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10.16183/j.cnki.jsjtu.2021.448 doi (DE-627)DOAJ088350401 (DE-599)DOAJa11d64ae0e0743b28f2f6ae00afe3385 DE-627 ger DE-627 rakwb chi TA1-2040 TP155-156 VM1-989 HE Wenjun, SU Jie, ZHOU Dai, HAN Zhaolong, BAO Yan, ZHAO Yongsheng, XU Yuwang, TU Jiahuang verfasserin aut Supporting Structure Optimization of Offshore Large-Scale Vertical Axis Wind Turbine Based On BESO Algorithm 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The research on large-scale offshore vertical axis wind turbine is of great significance to the development of ocean wind energy. For the safety of wind power, it is very important to study the reasonable supporting structure of the large-scale wind turbine. In this paper, an supporting structure optimization of a large-scale vertical axis wind turbine based on the variable deletion rate bidirectional evolutionary structural optimization (BESO) algorithm is proposed, and the reliability of structural optimization is verified by analyzing the dynamic response. The results show that this inverse proportional BESO algorithm can effectively improve the optimization iteration rate, and has a wide applicability to the optimal design of vertical axis wind turbine supporting structure. Compared with the initial structure, the wind-induced dynamic response of the topological new structure model under wind load is significantly reduced. The findings can be used to optimize the structural design of vertical axis wind turbine. vertical axis wind turbine bidirectional evolutionary structural optimization (beso) algorithm dynamic response vibration reduction Engineering (General). Civil engineering (General) Chemical engineering Naval architecture. Shipbuilding. Marine engineering In Shanghai Jiaotong Daxue xuebao Editorial Office of Journal of Shanghai Jiao Tong University, 2021 57(2023), 2, Seite 127-137 (DE-627)1680950819 10062467 nnns volume:57 year:2023 number:2 pages:127-137 https://doi.org/10.16183/j.cnki.jsjtu.2021.448 kostenfrei https://doaj.org/article/a11d64ae0e0743b28f2f6ae00afe3385 kostenfrei https://xuebao.sjtu.edu.cn/article/2023/1006-2467/1006-2467-57-2-127.shtml kostenfrei https://doaj.org/toc/1006-2467 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_2817 AR 57 2023 2 127-137 |
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Supporting Structure Optimization of Offshore Large-Scale Vertical Axis Wind Turbine Based On BESO Algorithm |
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HE Wenjun, SU Jie, ZHOU Dai, HAN Zhaolong, BAO Yan, ZHAO Yongsheng, XU Yuwang, TU Jiahuang |
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Shanghai Jiaotong Daxue xuebao |
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HE Wenjun, SU Jie, ZHOU Dai, HAN Zhaolong, BAO Yan, ZHAO Yongsheng, XU Yuwang, TU Jiahuang |
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57 |
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Elektronische Aufsätze |
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HE Wenjun, SU Jie, ZHOU Dai, HAN Zhaolong, BAO Yan, ZHAO Yongsheng, XU Yuwang, TU Jiahuang |
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10.16183/j.cnki.jsjtu.2021.448 |
| title_sort |
supporting structure optimization of offshore large-scale vertical axis wind turbine based on beso algorithm |
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TA1-2040 |
| title_auth |
Supporting Structure Optimization of Offshore Large-Scale Vertical Axis Wind Turbine Based On BESO Algorithm |
| abstract |
The research on large-scale offshore vertical axis wind turbine is of great significance to the development of ocean wind energy. For the safety of wind power, it is very important to study the reasonable supporting structure of the large-scale wind turbine. In this paper, an supporting structure optimization of a large-scale vertical axis wind turbine based on the variable deletion rate bidirectional evolutionary structural optimization (BESO) algorithm is proposed, and the reliability of structural optimization is verified by analyzing the dynamic response. The results show that this inverse proportional BESO algorithm can effectively improve the optimization iteration rate, and has a wide applicability to the optimal design of vertical axis wind turbine supporting structure. Compared with the initial structure, the wind-induced dynamic response of the topological new structure model under wind load is significantly reduced. The findings can be used to optimize the structural design of vertical axis wind turbine. |
| abstractGer |
The research on large-scale offshore vertical axis wind turbine is of great significance to the development of ocean wind energy. For the safety of wind power, it is very important to study the reasonable supporting structure of the large-scale wind turbine. In this paper, an supporting structure optimization of a large-scale vertical axis wind turbine based on the variable deletion rate bidirectional evolutionary structural optimization (BESO) algorithm is proposed, and the reliability of structural optimization is verified by analyzing the dynamic response. The results show that this inverse proportional BESO algorithm can effectively improve the optimization iteration rate, and has a wide applicability to the optimal design of vertical axis wind turbine supporting structure. Compared with the initial structure, the wind-induced dynamic response of the topological new structure model under wind load is significantly reduced. The findings can be used to optimize the structural design of vertical axis wind turbine. |
| abstract_unstemmed |
The research on large-scale offshore vertical axis wind turbine is of great significance to the development of ocean wind energy. For the safety of wind power, it is very important to study the reasonable supporting structure of the large-scale wind turbine. In this paper, an supporting structure optimization of a large-scale vertical axis wind turbine based on the variable deletion rate bidirectional evolutionary structural optimization (BESO) algorithm is proposed, and the reliability of structural optimization is verified by analyzing the dynamic response. The results show that this inverse proportional BESO algorithm can effectively improve the optimization iteration rate, and has a wide applicability to the optimal design of vertical axis wind turbine supporting structure. Compared with the initial structure, the wind-induced dynamic response of the topological new structure model under wind load is significantly reduced. The findings can be used to optimize the structural design of vertical axis wind turbine. |
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Supporting Structure Optimization of Offshore Large-Scale Vertical Axis Wind Turbine Based On BESO Algorithm |
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https://doi.org/10.16183/j.cnki.jsjtu.2021.448 https://doaj.org/article/a11d64ae0e0743b28f2f6ae00afe3385 https://xuebao.sjtu.edu.cn/article/2023/1006-2467/1006-2467-57-2-127.shtml https://doaj.org/toc/1006-2467 |
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TA - General and Civil Engineering |
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2024-07-03T17:12:29.763Z |
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