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Estimation of natural frequencies and damping using dynamic field data from an offshore wind turbine
The dynamic characteristics of offshore wind turbines are heavily affected by environmental loads from wave and wind action and nonlinear soil behaviour. In the design of the monopile structures, the fatigue load due to wind and wave loading is one of the most important problems to consider. Since t...
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Published in: | Marine structures 2021-03, Vol.76, p.102915, Article 102915 |
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description | The dynamic characteristics of offshore wind turbines are heavily affected by environmental loads from wave and wind action and nonlinear soil behaviour. In the design of the monopile structures, the fatigue load due to wind and wave loading is one of the most important problems to consider. Since the fatigue damage is sensitive to the foundation stiffness and damping, increasing the accuracy of analysis tools used in the design and optimization process can improve the reliability of the structure and reduce conservatism, thereby leading to a more cost-efficient design. In this context, analysis of field data is important for calibrating and verifying purposes. This paper presents analysis of measured accelerations and strains from a wind farm in the North Sea with monopile foundations. Field data during idling conditions, collected over long periods of operation, are analysed and the natural frequencies are determined, and damping is estimated. The measured natural frequencies are compared to calculated values using an aero-servo-hydro-elastic code, showing a good agreement in the frequency range below 2 Hz. Variation of the natural frequencies with intensity of loading may indicate effect of soil nonlinearity on the overall OWT response. Since the first natural bending modes have the largest potential to mobilize soil reactions, they are of primary interest in this context. The effect of load (wave, wind and dynamic bending moment) on the first natural frequency is investigated using different analysis techniques in the frequency domain and time domain. A clear correlation between load level and first natural frequency is demonstrated. A simple nonlinear SSI model of the tower/soil system is employed to numerically investigate the observed changes in the measured first natural frequency with the level of loading and increased overall damping. The simulated results reproduce the general trends in the observed reduction in the first natural frequency and increased damping ratio with the load level. However, the effect of the load level is less than that observed in the measurements, indicating contribution also from other factors than soil nonlinearity.
•Analysis of dynamic field data from a wind farm with monopile foundations.•Clear correlation between load level and frequency and damping is demonstrated.•Simulations with a nonlinear SSI model reproduces the general trends in results. |
doi_str_mv | 10.1016/j.marstruc.2020.102915 |
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•Analysis of dynamic field data from a wind farm with monopile foundations.•Clear correlation between load level and frequency and damping is demonstrated.•Simulations with a nonlinear SSI model reproduces the general trends in results.</description><identifier>ISSN: 0951-8339</identifier><identifier>EISSN: 1873-4170</identifier><identifier>DOI: 10.1016/j.marstruc.2020.102915</identifier><language>eng</language><publisher>Barking: Elsevier Ltd</publisher><subject>Acceleration ; Bending moments ; Context ; Cost analysis ; Damping ; Damping ratio ; Deformation ; Design ; Design analysis ; Design optimization ; Dynamic characteristics ; Fatigue ; Fatigue failure ; Frequency ranges ; Load ; Mathematical analysis ; Measurements ; Mechanical properties ; Natural frequencies ; Nonlinear systems ; Nonlinearity ; Offshore ; Offshore operations ; Offshore wind energy ; Pile foundation ; Reliability engineering ; Resonant frequencies ; Resonant frequency ; Soil ; Soil damping ; Soil investigations ; Soils ; Stiffness ; Strain ; Structural reliability ; Turbine engines ; Turbines ; Wind effects ; Wind farms ; Wind power ; Wind turbines</subject><ispartof>Marine structures, 2021-03, Vol.76, p.102915, Article 102915</ispartof><rights>2020 The Authors</rights><rights>Copyright Elsevier BV Mar 2021</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c388t-628ea09357596079fd1fa2b2792c146b8ad649954aab8df2549153372a7afa2f3</citedby><cites>FETCH-LOGICAL-c388t-628ea09357596079fd1fa2b2792c146b8ad649954aab8df2549153372a7afa2f3</cites><orcidid>0000-0002-7774-3860</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27901,27902</link.rule.ids></links><search><creatorcontrib>Norén-Cosgriff, Karin</creatorcontrib><creatorcontrib>Kaynia, Amir M.</creatorcontrib><title>Estimation of natural frequencies and damping using dynamic field data from an offshore wind turbine</title><title>Marine structures</title><description>The dynamic characteristics of offshore wind turbines are heavily affected by environmental loads from wave and wind action and nonlinear soil behaviour. In the design of the monopile structures, the fatigue load due to wind and wave loading is one of the most important problems to consider. Since the fatigue damage is sensitive to the foundation stiffness and damping, increasing the accuracy of analysis tools used in the design and optimization process can improve the reliability of the structure and reduce conservatism, thereby leading to a more cost-efficient design. In this context, analysis of field data is important for calibrating and verifying purposes. This paper presents analysis of measured accelerations and strains from a wind farm in the North Sea with monopile foundations. Field data during idling conditions, collected over long periods of operation, are analysed and the natural frequencies are determined, and damping is estimated. The measured natural frequencies are compared to calculated values using an aero-servo-hydro-elastic code, showing a good agreement in the frequency range below 2 Hz. Variation of the natural frequencies with intensity of loading may indicate effect of soil nonlinearity on the overall OWT response. Since the first natural bending modes have the largest potential to mobilize soil reactions, they are of primary interest in this context. The effect of load (wave, wind and dynamic bending moment) on the first natural frequency is investigated using different analysis techniques in the frequency domain and time domain. A clear correlation between load level and first natural frequency is demonstrated. A simple nonlinear SSI model of the tower/soil system is employed to numerically investigate the observed changes in the measured first natural frequency with the level of loading and increased overall damping. The simulated results reproduce the general trends in the observed reduction in the first natural frequency and increased damping ratio with the load level. However, the effect of the load level is less than that observed in the measurements, indicating contribution also from other factors than soil nonlinearity.
•Analysis of dynamic field data from a wind farm with monopile foundations.•Clear correlation between load level and frequency and damping is demonstrated.•Simulations with a nonlinear SSI model reproduces the general trends in results.</description><subject>Acceleration</subject><subject>Bending moments</subject><subject>Context</subject><subject>Cost analysis</subject><subject>Damping</subject><subject>Damping ratio</subject><subject>Deformation</subject><subject>Design</subject><subject>Design analysis</subject><subject>Design optimization</subject><subject>Dynamic characteristics</subject><subject>Fatigue</subject><subject>Fatigue failure</subject><subject>Frequency ranges</subject><subject>Load</subject><subject>Mathematical analysis</subject><subject>Measurements</subject><subject>Mechanical properties</subject><subject>Natural frequencies</subject><subject>Nonlinear systems</subject><subject>Nonlinearity</subject><subject>Offshore</subject><subject>Offshore operations</subject><subject>Offshore wind energy</subject><subject>Pile foundation</subject><subject>Reliability engineering</subject><subject>Resonant frequencies</subject><subject>Resonant frequency</subject><subject>Soil</subject><subject>Soil damping</subject><subject>Soil investigations</subject><subject>Soils</subject><subject>Stiffness</subject><subject>Strain</subject><subject>Structural reliability</subject><subject>Turbine engines</subject><subject>Turbines</subject><subject>Wind effects</subject><subject>Wind farms</subject><subject>Wind power</subject><subject>Wind turbines</subject><issn>0951-8339</issn><issn>1873-4170</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><recordid>eNqFkEtPxCAUhYnRxHH0LxgS1x2BllJ2msn4SCZxo2tCeSjNFEagmvn30oyu3UAC55x7zwfANUYrjHB7O6xGGVOOk1oRROZHwjE9AQvcsbpqMEOnYIE4xVVX1_wcXKQ0IIQZxngB9CZlN8rsgofBQi_zFOUO2mg-J-OVMwlKr6GW4975dzil-dQHL0enoHVmN_9lWQxhLMqSYdNHiAZ-u2IrYb3z5hKcWblL5ur3XoK3h83r-qnavjw-r--3laq7Llct6YxEvKaM8hYxbjW2kvSEcaJw0_ad1G3DOW2k7DttCW1Kz7pmRDJZhLZegptj7j6Gsn7KYghT9GWkIBTRBjeI0KJqjyoVQ0rRWLGPBUE8CIzETFQM4o-omImKI9FivDsaTenw5UwUqQDyymgXjcpCB_dfxA8BlINE</recordid><startdate>202103</startdate><enddate>202103</enddate><creator>Norén-Cosgriff, Karin</creator><creator>Kaynia, Amir M.</creator><general>Elsevier Ltd</general><general>Elsevier BV</general><scope>6I.</scope><scope>AAFTH</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7ST</scope><scope>7TB</scope><scope>7TN</scope><scope>8FD</scope><scope>C1K</scope><scope>F1W</scope><scope>FR3</scope><scope>KR7</scope><scope>SOI</scope><orcidid>https://orcid.org/0000-0002-7774-3860</orcidid></search><sort><creationdate>202103</creationdate><title>Estimation of natural frequencies and damping using dynamic field data from an offshore wind turbine</title><author>Norén-Cosgriff, Karin ; Kaynia, Amir M.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c388t-628ea09357596079fd1fa2b2792c146b8ad649954aab8df2549153372a7afa2f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Acceleration</topic><topic>Bending moments</topic><topic>Context</topic><topic>Cost analysis</topic><topic>Damping</topic><topic>Damping ratio</topic><topic>Deformation</topic><topic>Design</topic><topic>Design analysis</topic><topic>Design optimization</topic><topic>Dynamic characteristics</topic><topic>Fatigue</topic><topic>Fatigue failure</topic><topic>Frequency ranges</topic><topic>Load</topic><topic>Mathematical analysis</topic><topic>Measurements</topic><topic>Mechanical properties</topic><topic>Natural frequencies</topic><topic>Nonlinear systems</topic><topic>Nonlinearity</topic><topic>Offshore</topic><topic>Offshore operations</topic><topic>Offshore wind energy</topic><topic>Pile foundation</topic><topic>Reliability engineering</topic><topic>Resonant frequencies</topic><topic>Resonant frequency</topic><topic>Soil</topic><topic>Soil damping</topic><topic>Soil investigations</topic><topic>Soils</topic><topic>Stiffness</topic><topic>Strain</topic><topic>Structural reliability</topic><topic>Turbine engines</topic><topic>Turbines</topic><topic>Wind effects</topic><topic>Wind farms</topic><topic>Wind power</topic><topic>Wind turbines</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Norén-Cosgriff, Karin</creatorcontrib><creatorcontrib>Kaynia, Amir M.</creatorcontrib><collection>ScienceDirect Open Access Titles</collection><collection>Elsevier:ScienceDirect:Open Access</collection><collection>CrossRef</collection><collection>Environment Abstracts</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Oceanic Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Engineering Research Database</collection><collection>Civil Engineering Abstracts</collection><collection>Environment Abstracts</collection><jtitle>Marine structures</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Norén-Cosgriff, Karin</au><au>Kaynia, Amir M.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Estimation of natural frequencies and damping using dynamic field data from an offshore wind turbine</atitle><jtitle>Marine structures</jtitle><date>2021-03</date><risdate>2021</risdate><volume>76</volume><spage>102915</spage><pages>102915-</pages><artnum>102915</artnum><issn>0951-8339</issn><eissn>1873-4170</eissn><abstract>The dynamic characteristics of offshore wind turbines are heavily affected by environmental loads from wave and wind action and nonlinear soil behaviour. In the design of the monopile structures, the fatigue load due to wind and wave loading is one of the most important problems to consider. Since the fatigue damage is sensitive to the foundation stiffness and damping, increasing the accuracy of analysis tools used in the design and optimization process can improve the reliability of the structure and reduce conservatism, thereby leading to a more cost-efficient design. In this context, analysis of field data is important for calibrating and verifying purposes. This paper presents analysis of measured accelerations and strains from a wind farm in the North Sea with monopile foundations. Field data during idling conditions, collected over long periods of operation, are analysed and the natural frequencies are determined, and damping is estimated. The measured natural frequencies are compared to calculated values using an aero-servo-hydro-elastic code, showing a good agreement in the frequency range below 2 Hz. Variation of the natural frequencies with intensity of loading may indicate effect of soil nonlinearity on the overall OWT response. Since the first natural bending modes have the largest potential to mobilize soil reactions, they are of primary interest in this context. The effect of load (wave, wind and dynamic bending moment) on the first natural frequency is investigated using different analysis techniques in the frequency domain and time domain. A clear correlation between load level and first natural frequency is demonstrated. A simple nonlinear SSI model of the tower/soil system is employed to numerically investigate the observed changes in the measured first natural frequency with the level of loading and increased overall damping. The simulated results reproduce the general trends in the observed reduction in the first natural frequency and increased damping ratio with the load level. However, the effect of the load level is less than that observed in the measurements, indicating contribution also from other factors than soil nonlinearity.
•Analysis of dynamic field data from a wind farm with monopile foundations.•Clear correlation between load level and frequency and damping is demonstrated.•Simulations with a nonlinear SSI model reproduces the general trends in results.</abstract><cop>Barking</cop><pub>Elsevier Ltd</pub><doi>10.1016/j.marstruc.2020.102915</doi><orcidid>https://orcid.org/0000-0002-7774-3860</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Acceleration Bending moments Context Cost analysis Damping Damping ratio Deformation Design Design analysis Design optimization Dynamic characteristics Fatigue Fatigue failure Frequency ranges Load Mathematical analysis Measurements Mechanical properties Natural frequencies Nonlinear systems Nonlinearity Offshore Offshore operations Offshore wind energy Pile foundation Reliability engineering Resonant frequencies Resonant frequency Soil Soil damping Soil investigations Soils Stiffness Strain Structural reliability Turbine engines Turbines Wind effects Wind farms Wind power Wind turbines |
title | Estimation of natural frequencies and damping using dynamic field data from an offshore wind turbine |
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