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Reliability based analysis and design of a tripod offshore wind turbine structure assuring serviceability performance

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Typical tripod foundations are designed using deterministic computational models according to relevant standards and codes. However, for more cost-safety balanced design, uncertainties in significant parameters should be considered in preliminary design to ensure meeting a specific probabilistic safety target in the context of the complex configuration of a tripod structure. In this article, uncertainties associated with design parameters and modelling errors are considered using Monte Carlo simulations, in order to determine the key structural design parameters, and to determine the optimal balance between design parameters and design requirements. A Spearman rank-order correlation based analysis is carried out to understand the effects of design variables on maximum deformation, total weight, and natural frequency, and to have insight about important design parameters for improvement of a preliminary design. It is found that the tower diameter has the most significant effect on the maximum displacement on the hub as validated through engineering case studies. In addition, a statistical framework, which identifies influential design parameters and provides reliability evaluation, is proposed for the structural design of a tripod OWT system. The design cases considered in this study indicate that a simple deterministic design check cannot guarantee the required reliability level of the structure, and the cost-safety balance can be achieved by a reliability analysis with the consideration of the uncertainties in the structure.
Rocznik
Tom
Strony
139--148
Opis fizyczny
Bibliogr. 29 poz., rys., tab.
Twórcy
autor
  • Harbin Engineering University No.145 Nantong Str. Nangang Dist. 150001 Harbin China
autor
  • Western Sydney University 56 Second Avenue 2747 Sydeny Australia
autor
  • Qingdao University of Technology 11 Fushun Rd, Si Fang Qu 266033 Qingdao China
  • Western Sydney University 56 Second Avenue 2747 Sydeny Australia
autor
  • Harbin Engineering University No.145 Nantong Str. Nangang Dist. 150001 Harbin China
Bibliografia
  • 1. DNV G. ,: Support structures for wind turbines DNV GL AS, Hovik, Det Norske Veritas 2016.
  • 2. API RP2A-WSD. Recommended practice for planning, designing and constructing fixed offshore platforms–working stress design. American petroleum institute, Washington (DC), American 2014.
  • 3. Knowledge L. List of offshore wind farms. Available at: http:// www.lorc.dk/offshore-wind-farms-map/list.
  • 4. Karimirad M. Offshore Energy Structures For Wind Power, Wave Energy and Hybrid Marine Platforms, Springer International Publishing, Cham 2014.
  • 5. Haskell JJM, Cubrinovski M and Bradley BA. Sensitivity analysis and its role in pseudo-static design of pile foundations. Soil Dynamics and Earthquake Engineering 2012, 42, pp. 80–94.
  • 6. Lozano-Minguez E, Kolios AJ and Brennan FP, Multicriteria assessment of offshore wind turbine support structures. Renewable Energy 2011, 36, pp. 2831–2837.
  • 7. Lee K, Effects on the various rubber fenders of a tripod offshore wind turbine substructure collision strength due to boat. Ocean Engineering 2013,72, pp. 188–194.
  • 8. Yu H, Zeng X and Wang X, Seismic centrifuge modeling of offshore wind turbine with tripod foundation, IEEE Energytech, Energytech 2013.
  • 9. Yeter B, Garbatov Y and Guedes Soares C. , Evaluation of fatigue damage model predictions for fixed offshore wind turbine support structures. International Journal of Fatigue 2016, 87, pp. 71–80.
  • 10. Cullen AC, Frey HC, and Frey CH, Probabilistic techniques in exposure assessment: a handbook for dealing with variability and uncertainty in models and inputs. Springer Science & Business Media 1999.
  • 11. Pająk M, Fuzzy modeling of cardinal features of a complex technical system in Risk, Reliability and Safety: Innovating Theory and Practice: Proceedings of ESREL 2016 (Glasgow, Scotland, 25–29 September 2016). CRC Press, 2016, pp. 2762–2767.
  • 12. Borgonovo E, A new uncertainty importance measure. Reliability Engineering & System Safety 2007, 92, pp. 771–784.
  • 13. Pająk, M. Identification of the operating parameters of a complex technical system important from the operational potential point of view. Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering, 2018, 232, pp. 62–78.
  • 14. Andersen LV, Vahdatirad MJ, Sichani MT, et al. Natural frequencies of wind turbines on monopile foundations in clayey soils-A probabilistic approach. Computers and Geotechnics 2012, 43, pp. 1–11.
  • 15. Nour El-Din M and Kim J. Sensitivity analysis of pile-founded fixed steel jacket platforms subjected to seismic loads. Ocean Engineering 2014, 85, pp. 1–11.
  • 16. Lee YS, Choi BL, Lee JH, et al. , Reliability-based design optimization of monopile transition piece for offshore wind turbine system. Renewable Energy 2014, 71, pp. 729–741.
  • 17. Yang H, Zhu Y, Lu Q, et al., Dynamic reliability based design optimization of the tripod sub-structure of offshore wind turbines. Renewable Energy 2013, 78, pp. 16–25.
  • 18. Vahdatirad MJ, Bayat M, Andersen LV, et al, Probabilistic finite element stiffness of a laterally loaded monopile based on an improved asymptotic sampling method. Journal of Civil Engineering and Management 2015, 21, pp. 503–513.
  • 19. Zhang JH, Xie YQ and Gao DW, Sensitivity Analysis of Structural Behaviors on Key Design Parameters of Tripod for Offshore Wind Farm. The Twelfth ISOPE Pacific/Asia Offshore Mechanics Symposium. Australia 2016.
  • 20. Commission IE. Wind Turbines—Part 3: Design Requirements for Offshore Wind Turbines. No. IEC61400-3, 2009.
  • 21. Zhang L, Zhao J and Zhang JH, Analysis of Environmental Loads on Pile Foundation of Offshore Wind Turbines. International conference on marine science and technology for green shipping 2009, pp. 69–77.
  • 22. Pilger GG, Costa JFC and Koppe JC. Improving the efficiency of the sequential simulation algorithm using Latin Hypercube Sampling. Geostatistics Banff 2004. Springer 2005, pp. 989–998.
  • 23. Hess PE, Bruchman D, Assakkaf IA, et al, Uncertainties in material and geometric strength and load variables. Naval Engineers Journal 2002, 114, pp. 139–165.
  • 24. ASTM A. A500-93, Standard Specification for Cold-Formed Welded and Seamless Carbon Steel Structural Tubing in Rounds and Shapes, ASTM, West Conshohocken, PA 2003.
  • 25. Code JPM, Joint committee on structural safety. 2001 URL: www. jcss. ethz. ch.
  • 26. Nowak AS and Collins KR. Reliability of structures: CRC Press 2012.
  • 27. Wang F, Chen Q and Yu GC, Research on large scale wind driven generator group tower rigidity. New Energy and Technology 2005, 20, pp. 38–39.
  • 28. Gulvanessian H, Calgaro J-A and Holicky M. Designer’s guide to EN 1990: eurocode: basis of structural design: Thomas Telford 2002.
  • 29. ISO I. 2394. General Principles on Reliability for Structures. Zurich: ISO 2015.
Uwagi
Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-6936cfc0-cfa9-4817-a0c2-6f1759b5dfe3
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