Reliability Analysis of Fatigue Failure of Cast Components for Wind Turbines
Fatigue failure is one of the main failure modes for wind turbine drivetrain components made of cast iron. The wind turbine drivetrain consists of a variety of heavily loaded components, like the main shaft, the main bearings, the gearbox and the generator. The failure of each component will lead to...
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| Format: | Article |
| Language: | English |
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MDPI AG
2015-04-01
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| Series: | Energies |
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| Online Access: | http://www.mdpi.com/1996-1073/8/4/2908 |
| _version_ | 1798041425368055808 |
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| author | Hesam Mirzaei Rafsanjani John Dalsgaard Sørensen |
| author_facet | Hesam Mirzaei Rafsanjani John Dalsgaard Sørensen |
| author_sort | Hesam Mirzaei Rafsanjani |
| collection | DOAJ |
| description | Fatigue failure is one of the main failure modes for wind turbine drivetrain components made of cast iron. The wind turbine drivetrain consists of a variety of heavily loaded components, like the main shaft, the main bearings, the gearbox and the generator. The failure of each component will lead to substantial economic losses such as cost of lost energy production and cost of repairs. During the design lifetime, the drivetrain components are exposed to variable loads from winds and waves and other sources of loads that are uncertain and have to be modeled as stochastic variables. The types of loads are different for offshore and onshore wind turbines. Moreover, uncertainties about the fatigue strength play an important role in modeling and assessment of the reliability of the components. In this paper, a generic stochastic model for fatigue failure of cast iron components based on fatigue test data and a limit state equation for fatigue failure based on the SN-curve approach and Miner’s rule is presented. The statistical analysis of the fatigue data is performed using the Maximum Likelihood Method which also gives an estimate of the statistical uncertainties. Finally, illustrative examples are presented with reliability analyses depending on various stochastic models and partial safety factors. |
| first_indexed | 2024-04-11T22:21:21Z |
| format | Article |
| id | doaj.art-c814642a50e84fd681d5a1a5614d2b12 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-04-11T22:21:21Z |
| publishDate | 2015-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-c814642a50e84fd681d5a1a5614d2b122022-12-22T04:00:06ZengMDPI AGEnergies1996-10732015-04-01842908292310.3390/en8042908en8042908Reliability Analysis of Fatigue Failure of Cast Components for Wind TurbinesHesam Mirzaei Rafsanjani0John Dalsgaard Sørensen1Department of Civil Engineering, Aalborg University, Aalborg 9200, DenmarkDepartment of Civil Engineering, Aalborg University, Aalborg 9200, DenmarkFatigue failure is one of the main failure modes for wind turbine drivetrain components made of cast iron. The wind turbine drivetrain consists of a variety of heavily loaded components, like the main shaft, the main bearings, the gearbox and the generator. The failure of each component will lead to substantial economic losses such as cost of lost energy production and cost of repairs. During the design lifetime, the drivetrain components are exposed to variable loads from winds and waves and other sources of loads that are uncertain and have to be modeled as stochastic variables. The types of loads are different for offshore and onshore wind turbines. Moreover, uncertainties about the fatigue strength play an important role in modeling and assessment of the reliability of the components. In this paper, a generic stochastic model for fatigue failure of cast iron components based on fatigue test data and a limit state equation for fatigue failure based on the SN-curve approach and Miner’s rule is presented. The statistical analysis of the fatigue data is performed using the Maximum Likelihood Method which also gives an estimate of the statistical uncertainties. Finally, illustrative examples are presented with reliability analyses depending on various stochastic models and partial safety factors.http://www.mdpi.com/1996-1073/8/4/2908wind turbinedrivetrainfatiguestochastic modelreliability analysis |
| spellingShingle | Hesam Mirzaei Rafsanjani John Dalsgaard Sørensen Reliability Analysis of Fatigue Failure of Cast Components for Wind Turbines Energies wind turbine drivetrain fatigue stochastic model reliability analysis |
| title | Reliability Analysis of Fatigue Failure of Cast Components for Wind Turbines |
| title_full | Reliability Analysis of Fatigue Failure of Cast Components for Wind Turbines |
| title_fullStr | Reliability Analysis of Fatigue Failure of Cast Components for Wind Turbines |
| title_full_unstemmed | Reliability Analysis of Fatigue Failure of Cast Components for Wind Turbines |
| title_short | Reliability Analysis of Fatigue Failure of Cast Components for Wind Turbines |
| title_sort | reliability analysis of fatigue failure of cast components for wind turbines |
| topic | wind turbine drivetrain fatigue stochastic model reliability analysis |
| url | http://www.mdpi.com/1996-1073/8/4/2908 |
| work_keys_str_mv | AT hesammirzaeirafsanjani reliabilityanalysisoffatiguefailureofcastcomponentsforwindturbines AT johndalsgaardsørensen reliabilityanalysisoffatiguefailureofcastcomponentsforwindturbines |