An efficient rotational sampling method of wind fields for wind turbine blade fatigue analysis

Both the operational and ultimate load conditions should be considered in the structural design and reliability assessment of wind turbine systems. In the operational condition, the fatigue load experienced by wind turbine blades is of great concern in design which highly relies upon the rotor’s rot...
Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Chen, Jianbing [verfasserIn] Song, Yupeng [verfasserIn] Peng, Yongbo [verfasserIn] Nielsen, Søren R.K. [verfasserIn] Zhang, Zili [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2019

Schlagwörter:	Rotational sampling Wind turbine blades Fatigue analysis Stochastic harmonic function representation Wavenumber-frequency joint spectrum

Übergeordnetes Werk:	Enthalten in: Renewable energy - Amsterdam [u.a.] : Elsevier Science, 1991, 146, Seite 2170-2187
Übergeordnetes Werk:	volume:146 ; pages:2170-2187

DOI / URN:	10.1016/j.renene.2019.08.015

Katalog-ID:	ELV003132048

Internformat


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245	1	0	\|a An efficient rotational sampling method of wind fields for wind turbine blade fatigue analysis
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520			\|a Both the operational and ultimate load conditions should be considered in the structural design and reliability assessment of wind turbine systems. In the operational condition, the fatigue load experienced by wind turbine blades is of great concern in design which highly relies upon the rotor’s rotation. Three kinds of methods have been developed to explore the rotational sampling effect of wind speeds on wind turbine blades, which, however, are somewhat inconvenient in practical applications. In view of the recent developments in wind field simulation, a novel rotational sampling method allowing for the analytical expression of fluctuating wind speeds on rotating blades is proposed in the present paper. In contrast to the existing methods, the proposed method circumvents the decomposition of cross power spectrum density (PSD) matrix and the interpolation in spatial and temporal dimensions. In particular, a closed-form expression of the rotational sampling spectrum is provided, thereby the mechanism of transfer of turbulent kinetic energy in frequency domain is quantitatively revealed. For illustrative purposes, fatigue analysis of the blades of a 5-MW offshore wind turbine is carried out, demonstrating the non-negligible influence of the rotational sampling on the fatigue load of blades and the competitive efficiency of the proposed method.
650		4	\|a Rotational sampling
650		4	\|a Wind turbine blades
650		4	\|a Fatigue analysis
650		4	\|a Stochastic harmonic function representation
650		4	\|a Wavenumber-frequency joint spectrum
700	1		\|a Song, Yupeng \|e verfasserin \|4 aut
700	1		\|a Peng, Yongbo \|e verfasserin \|0 (orcid)0000-0002-8110-8536 \|4 aut
700	1		\|a Nielsen, Søren R.K. \|e verfasserin \|4 aut
700	1		\|a Zhang, Zili \|e verfasserin \|0 (orcid)0000-0002-5995-1893 \|4 aut
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Indexfelder

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matchkey_str	article:18790682:2019----::nfiinrttoasmlnmtoownfedfridubn
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publishDate	2019
allfields	10.1016/j.renene.2019.08.015 doi (DE-627)ELV003132048 (ELSEVIER)S0960-1481(19)31202-9 DE-627 ger DE-627 rda eng 530 620 DE-600 52.56 bkl Chen, Jianbing verfasserin aut An efficient rotational sampling method of wind fields for wind turbine blade fatigue analysis 2019 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Both the operational and ultimate load conditions should be considered in the structural design and reliability assessment of wind turbine systems. In the operational condition, the fatigue load experienced by wind turbine blades is of great concern in design which highly relies upon the rotor’s rotation. Three kinds of methods have been developed to explore the rotational sampling effect of wind speeds on wind turbine blades, which, however, are somewhat inconvenient in practical applications. In view of the recent developments in wind field simulation, a novel rotational sampling method allowing for the analytical expression of fluctuating wind speeds on rotating blades is proposed in the present paper. In contrast to the existing methods, the proposed method circumvents the decomposition of cross power spectrum density (PSD) matrix and the interpolation in spatial and temporal dimensions. In particular, a closed-form expression of the rotational sampling spectrum is provided, thereby the mechanism of transfer of turbulent kinetic energy in frequency domain is quantitatively revealed. For illustrative purposes, fatigue analysis of the blades of a 5-MW offshore wind turbine is carried out, demonstrating the non-negligible influence of the rotational sampling on the fatigue load of blades and the competitive efficiency of the proposed method. Rotational sampling Wind turbine blades Fatigue analysis Stochastic harmonic function representation Wavenumber-frequency joint spectrum Song, Yupeng verfasserin aut Peng, Yongbo verfasserin (orcid)0000-0002-8110-8536 aut Nielsen, Søren R.K. verfasserin aut Zhang, Zili verfasserin (orcid)0000-0002-5995-1893 aut Enthalten in Renewable energy Amsterdam [u.a.] : Elsevier Science, 1991 146, Seite 2170-2187 Online-Ressource (DE-627)320412091 (DE-600)2001449-1 (DE-576)252613937 1879-0682 nnns volume:146 pages:2170-2187 GBV_USEFLAG_U SYSFLAG_U GBV_ELV GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 52.56 Regenerative Energieformen alternative Energieformen AR 146 2170-2187
spelling	10.1016/j.renene.2019.08.015 doi (DE-627)ELV003132048 (ELSEVIER)S0960-1481(19)31202-9 DE-627 ger DE-627 rda eng 530 620 DE-600 52.56 bkl Chen, Jianbing verfasserin aut An efficient rotational sampling method of wind fields for wind turbine blade fatigue analysis 2019 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Both the operational and ultimate load conditions should be considered in the structural design and reliability assessment of wind turbine systems. In the operational condition, the fatigue load experienced by wind turbine blades is of great concern in design which highly relies upon the rotor’s rotation. Three kinds of methods have been developed to explore the rotational sampling effect of wind speeds on wind turbine blades, which, however, are somewhat inconvenient in practical applications. In view of the recent developments in wind field simulation, a novel rotational sampling method allowing for the analytical expression of fluctuating wind speeds on rotating blades is proposed in the present paper. In contrast to the existing methods, the proposed method circumvents the decomposition of cross power spectrum density (PSD) matrix and the interpolation in spatial and temporal dimensions. In particular, a closed-form expression of the rotational sampling spectrum is provided, thereby the mechanism of transfer of turbulent kinetic energy in frequency domain is quantitatively revealed. For illustrative purposes, fatigue analysis of the blades of a 5-MW offshore wind turbine is carried out, demonstrating the non-negligible influence of the rotational sampling on the fatigue load of blades and the competitive efficiency of the proposed method. Rotational sampling Wind turbine blades Fatigue analysis Stochastic harmonic function representation Wavenumber-frequency joint spectrum Song, Yupeng verfasserin aut Peng, Yongbo verfasserin (orcid)0000-0002-8110-8536 aut Nielsen, Søren R.K. verfasserin aut Zhang, Zili verfasserin (orcid)0000-0002-5995-1893 aut Enthalten in Renewable energy Amsterdam [u.a.] : Elsevier Science, 1991 146, Seite 2170-2187 Online-Ressource (DE-627)320412091 (DE-600)2001449-1 (DE-576)252613937 1879-0682 nnns volume:146 pages:2170-2187 GBV_USEFLAG_U SYSFLAG_U GBV_ELV GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 52.56 Regenerative Energieformen alternative Energieformen AR 146 2170-2187
allfields_unstemmed	10.1016/j.renene.2019.08.015 doi (DE-627)ELV003132048 (ELSEVIER)S0960-1481(19)31202-9 DE-627 ger DE-627 rda eng 530 620 DE-600 52.56 bkl Chen, Jianbing verfasserin aut An efficient rotational sampling method of wind fields for wind turbine blade fatigue analysis 2019 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Both the operational and ultimate load conditions should be considered in the structural design and reliability assessment of wind turbine systems. In the operational condition, the fatigue load experienced by wind turbine blades is of great concern in design which highly relies upon the rotor’s rotation. Three kinds of methods have been developed to explore the rotational sampling effect of wind speeds on wind turbine blades, which, however, are somewhat inconvenient in practical applications. In view of the recent developments in wind field simulation, a novel rotational sampling method allowing for the analytical expression of fluctuating wind speeds on rotating blades is proposed in the present paper. In contrast to the existing methods, the proposed method circumvents the decomposition of cross power spectrum density (PSD) matrix and the interpolation in spatial and temporal dimensions. In particular, a closed-form expression of the rotational sampling spectrum is provided, thereby the mechanism of transfer of turbulent kinetic energy in frequency domain is quantitatively revealed. For illustrative purposes, fatigue analysis of the blades of a 5-MW offshore wind turbine is carried out, demonstrating the non-negligible influence of the rotational sampling on the fatigue load of blades and the competitive efficiency of the proposed method. Rotational sampling Wind turbine blades Fatigue analysis Stochastic harmonic function representation Wavenumber-frequency joint spectrum Song, Yupeng verfasserin aut Peng, Yongbo verfasserin (orcid)0000-0002-8110-8536 aut Nielsen, Søren R.K. verfasserin aut Zhang, Zili verfasserin (orcid)0000-0002-5995-1893 aut Enthalten in Renewable energy Amsterdam [u.a.] : Elsevier Science, 1991 146, Seite 2170-2187 Online-Ressource (DE-627)320412091 (DE-600)2001449-1 (DE-576)252613937 1879-0682 nnns volume:146 pages:2170-2187 GBV_USEFLAG_U SYSFLAG_U GBV_ELV GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 52.56 Regenerative Energieformen alternative Energieformen AR 146 2170-2187
allfieldsGer	10.1016/j.renene.2019.08.015 doi (DE-627)ELV003132048 (ELSEVIER)S0960-1481(19)31202-9 DE-627 ger DE-627 rda eng 530 620 DE-600 52.56 bkl Chen, Jianbing verfasserin aut An efficient rotational sampling method of wind fields for wind turbine blade fatigue analysis 2019 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Both the operational and ultimate load conditions should be considered in the structural design and reliability assessment of wind turbine systems. In the operational condition, the fatigue load experienced by wind turbine blades is of great concern in design which highly relies upon the rotor’s rotation. Three kinds of methods have been developed to explore the rotational sampling effect of wind speeds on wind turbine blades, which, however, are somewhat inconvenient in practical applications. In view of the recent developments in wind field simulation, a novel rotational sampling method allowing for the analytical expression of fluctuating wind speeds on rotating blades is proposed in the present paper. In contrast to the existing methods, the proposed method circumvents the decomposition of cross power spectrum density (PSD) matrix and the interpolation in spatial and temporal dimensions. In particular, a closed-form expression of the rotational sampling spectrum is provided, thereby the mechanism of transfer of turbulent kinetic energy in frequency domain is quantitatively revealed. For illustrative purposes, fatigue analysis of the blades of a 5-MW offshore wind turbine is carried out, demonstrating the non-negligible influence of the rotational sampling on the fatigue load of blades and the competitive efficiency of the proposed method. Rotational sampling Wind turbine blades Fatigue analysis Stochastic harmonic function representation Wavenumber-frequency joint spectrum Song, Yupeng verfasserin aut Peng, Yongbo verfasserin (orcid)0000-0002-8110-8536 aut Nielsen, Søren R.K. verfasserin aut Zhang, Zili verfasserin (orcid)0000-0002-5995-1893 aut Enthalten in Renewable energy Amsterdam [u.a.] : Elsevier Science, 1991 146, Seite 2170-2187 Online-Ressource (DE-627)320412091 (DE-600)2001449-1 (DE-576)252613937 1879-0682 nnns volume:146 pages:2170-2187 GBV_USEFLAG_U SYSFLAG_U GBV_ELV GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 52.56 Regenerative Energieformen alternative Energieformen AR 146 2170-2187
allfieldsSound	10.1016/j.renene.2019.08.015 doi (DE-627)ELV003132048 (ELSEVIER)S0960-1481(19)31202-9 DE-627 ger DE-627 rda eng 530 620 DE-600 52.56 bkl Chen, Jianbing verfasserin aut An efficient rotational sampling method of wind fields for wind turbine blade fatigue analysis 2019 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Both the operational and ultimate load conditions should be considered in the structural design and reliability assessment of wind turbine systems. In the operational condition, the fatigue load experienced by wind turbine blades is of great concern in design which highly relies upon the rotor’s rotation. Three kinds of methods have been developed to explore the rotational sampling effect of wind speeds on wind turbine blades, which, however, are somewhat inconvenient in practical applications. In view of the recent developments in wind field simulation, a novel rotational sampling method allowing for the analytical expression of fluctuating wind speeds on rotating blades is proposed in the present paper. In contrast to the existing methods, the proposed method circumvents the decomposition of cross power spectrum density (PSD) matrix and the interpolation in spatial and temporal dimensions. In particular, a closed-form expression of the rotational sampling spectrum is provided, thereby the mechanism of transfer of turbulent kinetic energy in frequency domain is quantitatively revealed. For illustrative purposes, fatigue analysis of the blades of a 5-MW offshore wind turbine is carried out, demonstrating the non-negligible influence of the rotational sampling on the fatigue load of blades and the competitive efficiency of the proposed method. Rotational sampling Wind turbine blades Fatigue analysis Stochastic harmonic function representation Wavenumber-frequency joint spectrum Song, Yupeng verfasserin aut Peng, Yongbo verfasserin (orcid)0000-0002-8110-8536 aut Nielsen, Søren R.K. verfasserin aut Zhang, Zili verfasserin (orcid)0000-0002-5995-1893 aut Enthalten in Renewable energy Amsterdam [u.a.] : Elsevier Science, 1991 146, Seite 2170-2187 Online-Ressource (DE-627)320412091 (DE-600)2001449-1 (DE-576)252613937 1879-0682 nnns volume:146 pages:2170-2187 GBV_USEFLAG_U SYSFLAG_U GBV_ELV GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 52.56 Regenerative Energieformen alternative Energieformen AR 146 2170-2187
language	English
source	Enthalten in Renewable energy 146, Seite 2170-2187 volume:146 pages:2170-2187
sourceStr	Enthalten in Renewable energy 146, Seite 2170-2187 volume:146 pages:2170-2187
format_phy_str_mv	Article
bklname	Regenerative Energieformen alternative Energieformen
institution	findex.gbv.de
topic_facet	Rotational sampling Wind turbine blades Fatigue analysis Stochastic harmonic function representation Wavenumber-frequency joint spectrum
dewey-raw	530
isfreeaccess_bool	false
container_title	Renewable energy
authorswithroles_txt_mv	Chen, Jianbing @@aut@@ Song, Yupeng @@aut@@ Peng, Yongbo @@aut@@ Nielsen, Søren R.K. @@aut@@ Zhang, Zili @@aut@@
publishDateDaySort_date	2019-01-01T00:00:00Z
hierarchy_top_id	320412091
dewey-sort	3530
id	ELV003132048
language_de	englisch
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author	Chen, Jianbing
spellingShingle	Chen, Jianbing ddc 530 bkl 52.56 misc Rotational sampling misc Wind turbine blades misc Fatigue analysis misc Stochastic harmonic function representation misc Wavenumber-frequency joint spectrum An efficient rotational sampling method of wind fields for wind turbine blade fatigue analysis
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topic_title	530 620 DE-600 52.56 bkl An efficient rotational sampling method of wind fields for wind turbine blade fatigue analysis Rotational sampling Wind turbine blades Fatigue analysis Stochastic harmonic function representation Wavenumber-frequency joint spectrum
topic	ddc 530 bkl 52.56 misc Rotational sampling misc Wind turbine blades misc Fatigue analysis misc Stochastic harmonic function representation misc Wavenumber-frequency joint spectrum
topic_unstemmed	ddc 530 bkl 52.56 misc Rotational sampling misc Wind turbine blades misc Fatigue analysis misc Stochastic harmonic function representation misc Wavenumber-frequency joint spectrum
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title	An efficient rotational sampling method of wind fields for wind turbine blade fatigue analysis
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title_full	An efficient rotational sampling method of wind fields for wind turbine blade fatigue analysis
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title_sort	an efficient rotational sampling method of wind fields for wind turbine blade fatigue analysis
title_auth	An efficient rotational sampling method of wind fields for wind turbine blade fatigue analysis
abstract	Both the operational and ultimate load conditions should be considered in the structural design and reliability assessment of wind turbine systems. In the operational condition, the fatigue load experienced by wind turbine blades is of great concern in design which highly relies upon the rotor’s rotation. Three kinds of methods have been developed to explore the rotational sampling effect of wind speeds on wind turbine blades, which, however, are somewhat inconvenient in practical applications. In view of the recent developments in wind field simulation, a novel rotational sampling method allowing for the analytical expression of fluctuating wind speeds on rotating blades is proposed in the present paper. In contrast to the existing methods, the proposed method circumvents the decomposition of cross power spectrum density (PSD) matrix and the interpolation in spatial and temporal dimensions. In particular, a closed-form expression of the rotational sampling spectrum is provided, thereby the mechanism of transfer of turbulent kinetic energy in frequency domain is quantitatively revealed. For illustrative purposes, fatigue analysis of the blades of a 5-MW offshore wind turbine is carried out, demonstrating the non-negligible influence of the rotational sampling on the fatigue load of blades and the competitive efficiency of the proposed method.
abstractGer	Both the operational and ultimate load conditions should be considered in the structural design and reliability assessment of wind turbine systems. In the operational condition, the fatigue load experienced by wind turbine blades is of great concern in design which highly relies upon the rotor’s rotation. Three kinds of methods have been developed to explore the rotational sampling effect of wind speeds on wind turbine blades, which, however, are somewhat inconvenient in practical applications. In view of the recent developments in wind field simulation, a novel rotational sampling method allowing for the analytical expression of fluctuating wind speeds on rotating blades is proposed in the present paper. In contrast to the existing methods, the proposed method circumvents the decomposition of cross power spectrum density (PSD) matrix and the interpolation in spatial and temporal dimensions. In particular, a closed-form expression of the rotational sampling spectrum is provided, thereby the mechanism of transfer of turbulent kinetic energy in frequency domain is quantitatively revealed. For illustrative purposes, fatigue analysis of the blades of a 5-MW offshore wind turbine is carried out, demonstrating the non-negligible influence of the rotational sampling on the fatigue load of blades and the competitive efficiency of the proposed method.
abstract_unstemmed	Both the operational and ultimate load conditions should be considered in the structural design and reliability assessment of wind turbine systems. In the operational condition, the fatigue load experienced by wind turbine blades is of great concern in design which highly relies upon the rotor’s rotation. Three kinds of methods have been developed to explore the rotational sampling effect of wind speeds on wind turbine blades, which, however, are somewhat inconvenient in practical applications. In view of the recent developments in wind field simulation, a novel rotational sampling method allowing for the analytical expression of fluctuating wind speeds on rotating blades is proposed in the present paper. In contrast to the existing methods, the proposed method circumvents the decomposition of cross power spectrum density (PSD) matrix and the interpolation in spatial and temporal dimensions. In particular, a closed-form expression of the rotational sampling spectrum is provided, thereby the mechanism of transfer of turbulent kinetic energy in frequency domain is quantitatively revealed. For illustrative purposes, fatigue analysis of the blades of a 5-MW offshore wind turbine is carried out, demonstrating the non-negligible influence of the rotational sampling on the fatigue load of blades and the competitive efficiency of the proposed method.
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title_short	An efficient rotational sampling method of wind fields for wind turbine blade fatigue analysis
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author2	Song, Yupeng Peng, Yongbo Nielsen, Søren R.K. Zhang, Zili
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up_date	2024-07-06T18:35:56.688Z
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An efficient rotational sampling method of wind fields for wind turbine blade fatigue analysis

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