Uncertainty models for the structural design of floating offshore wind turbines: A review
Tài liệu tham khảo
2022
2022
Wiser, 2015
Eriksen, 2021
Wang, 2022, Reliability of offshore wind turbine support structures: a state-of-the-art review, Renew Sustain Energy Rev, 161, 10.1016/j.rser.2022.112250
Jiang, 2021, Installation of offshore wind turbines: a technical review, Renew Sustain Energy Rev, 139, 10.1016/j.rser.2020.110576
Sánchez, 2019, Foundations in offshore wind farms: Evolution, characteristics and range of use. Analysis of main dimensional parameters in monopile foundations, J Mar Sci Eng, 7, 441, 10.3390/jmse7120441
Farr, 2021, Potential environmental effects of deepwater floating offshore wind energy facilities, Ocean Coast Manag, 207, 10.1016/j.ocecoaman.2021.105611
Barrera, 2020, Mooring system fatigue analysis of a floating offshore wind turbine, Ocean Eng, 195, 10.1016/j.oceaneng.2019.106670
WindEurope, 2018, Floating offshore wind energy: a policy blueprint for Europe, Position Pap, 10
Raed, 2020, Uncertainty assessment for the extreme hydrodynamic responses of a wind turbine semi-submersible platform using different environmental contour approaches, Ocean Eng, 195, 10.1016/j.oceaneng.2019.106719
Yeter, 2022, Structural integrity assessment of fixed support structures for offshore wind turbines: a review, Ocean Eng, 244, 10.1016/j.oceaneng.2021.110271
Wang, 2022, Influence of variability and uncertainty of wind and waves on fatigue damage of a floating wind turbine drivetrain, Renew Energy, 181, 870, 10.1016/j.renene.2021.09.090
Okpokparoro, 2021, Uncertainty modeling in reliability analysis of floating wind turbine support structures, Renew Energy, 165, 88, 10.1016/j.renene.2020.10.068
Jiang, 2017, Structural reliability analysis of wind turbines: a review, Energies, 10, 2099, 10.3390/en10122099
Cockerill, 2001, Combined technical and economic evaluation of the Northern European offshore wind resource, J Wind Eng Ind Aerodyn, 89, 689, 10.1016/S0167-6105(01)00066-6
Zhang, 2016, Floating offshore wind turbine reliability analysis based on system grading and dynamic FTA, J Wind Eng Ind Aerodyn, 154, 21, 10.1016/j.jweia.2016.04.005
Koo, 2022
Jonkman, 2022
Toft, 2011, Reliability-based design of wind turbine blades, Struct Saf, 33, 333, 10.1016/j.strusafe.2011.05.003
Der Kiureghian, 1986, Structural reliability under incomplete probability information, J Eng Mech, 112, 85, 10.1061/(ASCE)0733-9399(1986)112:1(85)
Faes, 2020, Recent trends in the modeling and quantification of non-probabilistic uncertainty, Arch Comput Methods Eng, 27, 633, 10.1007/s11831-019-09327-x
Raftery, 1999, 496
Brower, 2012
Watson, 2015, Wind speed variability across the UK between 1957 and 2011, Wind Energy, 18, 21, 10.1002/we.1679
Pullinger, 2017, vol. 926
Pryor, 2006, Inter‐annual variability of wind indices across Europe, Wind Energy Int J Prog Appl Wind Power Convers Technol, 9, 27
Pryor, 2018, Interannual variability of wind climates and wind turbine annual energy production, Wind Energy Sci, 3, 651, 10.5194/wes-3-651-2018
Hamlington, 2015, Effects of climate oscillations on wind resource variability in the United States, Geophys Res Lett, 42, 145, 10.1002/2014GL062370
Früh, 2013, Long-term wind resource and uncertainty estimation using wind records from Scotland as example, Renew Energy, 50, 1014, 10.1016/j.renene.2012.08.047
Richter, 2017, Uncertainty quantification of offshore wind farms, Wind Energy, 1–21
Brower, 2012
Jensen, 1983, vol. 2411
Ainslie, 1988, Calculating the flowfield in the wake of wind turbines, J Wind Eng Ind Aerodyn, 27, 213, 10.1016/0167-6105(88)90037-2
Ott, 2009, vol. 508, 11
Stovall, 2010, 825
Ouarda, 2015, Probability distributions of wind speed in the UAE, Energy Convers Manag, 93, 414, 10.1016/j.enconman.2015.01.036
1998, Wind turbine generator systems—Part 12: wind turbine power performance testing, IEC Stand Publ IEC
Wais, 2017, A review of Weibull functions in wind sector, Renew Sustain Energy Rev, 70, 1099, 10.1016/j.rser.2016.12.014
Li, 2020, Comparative study of onshore and offshore wind characteristics and wind energy potentials: a case study for southeast coastal region of China, Sustain Energy Technol Assess, 39
Saeed, 2019, Comparison of six different methods of Weibull distribution for wind power assessment: a case study for a site in the Northern region of Pakistan, Sustain Energy Technol Assess, 36
Hübler, 2017, Development of a comprehensive database of scattering environmental conditions and simulation constraints for offshore wind turbines, Wind Energy Sci, 2, 491, 10.5194/wes-2-491-2017
Fischer, 2010
Kim, 2015, Reliability analysis of offshore wind turbine support structures under extreme ocean environmental loads, Renew Energy, 79, 161, 10.1016/j.renene.2014.11.052
Horn, 2019, Fatigue reliability assessment of offshore wind turbines with stochastic availability, Reliab Eng Syst Saf, 191, 10.1016/j.ress.2019.106550
Horn, 2018, A new combination of conditional environmental distributions, Appl Ocean Res, 73, 17, 10.1016/j.apor.2018.01.010
Shu, 2015, Investigation of offshore wind energy potential in Hong Kong based on Weibull distribution function, Appl Energy, 156, 362, 10.1016/j.apenergy.2015.07.027
Pacheco, 2017, An evaluation of offshore wind power production by floatable systems: a case study from SW Portugal, Energy, 131, 239, 10.1016/j.energy.2017.04.149
Lee, 2013, Assessment of offshore wind energy at Younggwang in Korea, Renew Sustain Energy Rev, 21, 131, 10.1016/j.rser.2012.12.059
Zhao, 2019, Stochastic dynamic analysis of an offshore wind turbine structure by the path integration method, Energies, 12, 3051, 10.3390/en12163051
Li, 2018, Short-term fatigue analysis for tower base of a spar-type wind turbine under stochastic wind-wave loads, Int J Nav Archit Ocean Eng, 10, 9, 10.1016/j.ijnaoe.2017.05.003
Ivanhoe, 2020, Generic framework for reliability assessment of offshore wind turbine jacket support structures under stochastic and time dependent variables, Ocean Eng, 216, 10.1016/j.oceaneng.2020.107691
Soukissian, 2018, Effects of parameter estimation method and sample size in metocean design conditions, Ocean Eng, 169, 19, 10.1016/j.oceaneng.2018.09.017
Dong, 2015, Trivariate maximum entropy distribution of significant wave height, wind speed and relative direction, Renew Energy, 78, 538, 10.1016/j.renene.2015.01.027
Montes-Iturrizaga, 2012, Nested reliability analysis of mooring lines for floating systems, Appl Ocean Res, 34, 107, 10.1016/j.apor.2011.09.005
Leimeister, 2021, Reliability-based design optimization of a spar-type floating offshore wind turbine support structure, Reliab Eng Syst Saf, 213, 10.1016/j.ress.2021.107666
Uzunoglu, 2019, Yaw motion of floating wind turbine platforms induced by pitch actuator fault in storm conditions, Renew Energy, 134, 1056, 10.1016/j.renene.2018.11.076
Stewart, 2016, The creation of a comprehensive metocean data set for offshore wind turbine simulations, Wind Energy, 19, 1151, 10.1002/we.1881
Li, 2020, Long-term assessment of a floating offshore wind turbine under environmental conditions with multivariate dependence structures, Renew Energy, 147, 764, 10.1016/j.renene.2019.09.076
Yaniktepe, 2013, Investigation of wind characteristics and wind energy potential in Osmaniye, Turkey, Renew Sustain Energy Rev, 21, 703, 10.1016/j.rser.2013.01.005
Carta, 2008, Statistical modelling of directional wind speeds using mixtures of von Mises distributions: case study, Energy Convers Manag, 49, 897, 10.1016/j.enconman.2007.10.017
Akpinar, 2009, Estimation of wind energy potential using finite mixture distribution models, Energy Convers Manag, 50, 877, 10.1016/j.enconman.2009.01.007
Pobočíková, 2017, Application of four probability distributions for wind speed modeling, Procedia Eng, 192, 713, 10.1016/j.proeng.2017.06.123
Altunkaynak, 2012, Theoretical derivation of wind power probability distribution function and applications, Appl Energy, 92, 809, 10.1016/j.apenergy.2011.08.038
Rocha, 2012, Comparison of seven numerical methods for determining Weibull parameters for wind energy generation in the northeast region of Brazil, Appl Energy, 89, 395, 10.1016/j.apenergy.2011.08.003
Keyhani, 2010, An assessment of wind energy potential as a power generation source in the capital of Iran, Tehran, Energy, 35, 188, 10.1016/j.energy.2009.09.009
Wais, 2017, Two and three-parameter Weibull distribution in available wind power analysis, Renew Energy, 103, 15, 10.1016/j.renene.2016.10.041
Sørensen, 2010, Probabilistic design of wind turbines, Energies, 3, 241, 10.3390/en3020241
Stewart, 1978
Van der Auwera, 1980, The use of the Weibull three-parameter model for estimating mean wind power densities, J Appl Meteorol, 19, 819, 10.1175/1520-0450(1980)019<0819:TUOTWT>2.0.CO;2
Horn, 2016, Reducing uncertainty of Monte Carlo estimated fatigue damage in offshore wind turbines using FORM
Karmakar, 2016, Long-term extreme load prediction of spar and semisubmersible floating wind turbines using the environmental contour method, J Offshore Mech Arct Eng, 138, 10.1115/1.4032099
Karimirad, 2011, Extreme dynamic structural response analysis of catenary moored spar wind turbine in harsh environmental conditions, J Offshore Mech Arct Eng, 133, 10.1115/1.4003393
Haselsteiner, 2021, A benchmarking exercise for environmental contours, Ocean Eng, 236, 10.1016/j.oceaneng.2021.109504
2005
Ruzzo, 2019, A numerical study on the dynamic response of a floating spar platform in extreme waves, J Mar Sci Technol, 24, 1135, 10.1007/s00773-018-0612-9
Morison, 1950, The force exerted by surface waves on piles, J Pet Technol, 2, 149, 10.2118/950149-G
Tran, 2016, Fully coupled aero-hydrodynamic analysis of a semi-submersible FOWT using a dynamic fluid body interaction approach, Renew Energy, 92, 244, 10.1016/j.renene.2016.02.021
Najafian, 1995, A review of the probabilistic description of Morison wave loading and response of fixed offshore structures, J Fluids Struct, 9, 585, 10.1006/jfls.1995.1033
Raed, 2016, Uncertainty associated with the estimation of drag and inertia coefficients of fixed vertical cylinders, Prog Renew Energ Offshore Taylor Francis Group Lond UK, 767, 10.1201/9781315229256-90
Raed, 2018, Variability effect of the drag and inertia coefficients on the Morison wave force acting on a fixed vertical cylinder in irregular waves, Ocean Eng, 159, 66, 10.1016/j.oceaneng.2018.03.066
Soares, 1983, On the uncertainties related to the extreme hydrodynamic loading of a cylindrical pile, 351
Moan, 2005, Uncertainty of wave-induced response of marine structures due to long-term variation of extratropical wave conditions, Mar Struct, 18, 359, 10.1016/j.marstruc.2005.11.001
Zhang, 2021, Risk assessment of floating offshore wind turbines based on fuzzy fault tree analysis, Ocean Eng, 239, 10.1016/j.oceaneng.2021.109859
Ziegler, 2015, Sensitivity of wave fatigue loads on offshore wind turbines under varying site conditions, Energy Proc, 80, 193, 10.1016/j.egypro.2015.11.422
Lucas, 2015, Bivariate distributions of significant wave height and mean wave period of combined sea states, Ocean Eng, 106, 341, 10.1016/j.oceaneng.2015.07.010
Dong, 2013, Bivariate maximum entropy distribution of significant wave height and peak period, Ocean Eng, 59, 86, 10.1016/j.oceaneng.2012.12.002
Huseby, 2013, A new approach to environmental contours for ocean engineering applications based on direct Monte Carlo simulations, Ocean Eng, 60, 124, 10.1016/j.oceaneng.2012.12.034
Nava, 2006, vol. 47489, 229
Qu, 2020, Dynamic response of spar-type floating offshore wind turbine in freak wave considering the wave-current interaction effect, Appl Ocean Res, 100, 10.1016/j.apor.2020.102178
Chung, 2021, Structural health monitoring for TLP-FOWT (floating offshore wind turbine) tendon using sensors, Appl Ocean Res, 113, 10.1016/j.apor.2021.102740
Clark, 2018, Reliability-based design optimization in offshore renewable energy systems, Renew Sustain Energy Rev, 97, 390, 10.1016/j.rser.2018.08.030
Truong, 2022, Active control strategies for system enhancement and load mitigation of floating offshore wind turbines: a review, Renew Sustain Energy Rev, 170, 10.1016/j.rser.2022.112958
Zhang, 2022, Pair-Copula-based trivariate joint probability model of wind speed, wind direction and angle of attack, J Wind Eng Ind Aerodyn, 225, 10.1016/j.jweia.2022.105010
Ramadhani, 2023, A multivariate model to estimate environmental load on an offshore structure, Ocean Eng, 274, 10.1016/j.oceaneng.2023.114067
Haver, 1987, On the joint distribution of heights and periods of sea waves, Ocean Eng, 14, 359, 10.1016/0029-8018(87)90050-3
Mathisen, 1990, Joint distributions for significant wave height and wave zero-up-crossing period, Appl Ocean Res, 12, 93, 10.1016/S0141-1187(05)80033-1
Ferreira, 2002, Modelling bivariate distributions of significant wave height and mean wave period, Appl Ocean Res, 24, 31, 10.1016/S0141-1187(02)00006-8
Athanassoulis, 1994, Bivariate distributions with given marginals with an application to wave climate description, Appl Ocean Res, 16, 1, 10.1016/0141-1187(94)90010-8
Haver, 1985, Wave climate off northern Norway, Appl Ocean Res, 7, 85, 10.1016/0141-1187(85)90038-0
Velarde, 2019, Probabilistic analysis of offshore wind turbines under extreme resonant response: application of environmental contour method, Appl Ocean Res, 93, 10.1016/j.apor.2019.101947
Good, 1963, Maximum entropy for hypothesis formulation, especially for multidimensional contingency tables, Ann Math Stat, 34, 911, 10.1214/aoms/1177704014
Fratantoni, 2001, North Atlantic surface circulation during the 1990's observed with satellite‐tracked drifters, J Geophys Res Oceans, 106, 22067, 10.1029/2000JC000730
Otter, 2022, vol. 2265
Lsp, 2021, Nonlinear dynamics of a floating offshore wind turbine platform via statistical quadratization—mooring, wave and current interaction, Ocean Eng, 236
Van Der Tempel, 2011, 463
Lee, 2009, Reliability and cost analyses of electricity collection systems of a marine current farm—a Taiwanese case study, Renew Sustain Energy Rev, 13, 2012, 10.1016/j.rser.2009.01.011
Zheng, 2020, Hydrodynamic responses of a 6 MW spar-type floating offshore wind turbine in regular waves and uniform current, Fluids, 5, 187, 10.3390/fluids5040187
Ishihara, 2020, Dynamic response analysis of a semi-submersible floating wind turbine in combined wave and current conditions using advanced hydrodynamic models, Energies, 13, 5820, 10.3390/en13215820
2009
Pierson, 1964, A proposed spectral form for fully developed wind seas based on the similarity theory of SA Kitaigorodskii, J Geophys Res, 69, 5181, 10.1029/JZ069i024p05181
Hasselmann, 1980, Directional wave spectra observed during JONSWAP 1973, J Phys Oceanogr, 10, 1264, 10.1175/1520-0485(1980)010<1264:DWSODJ>2.0.CO;2
Haid, 2013, vol. 55423
Chen, 2018, Fatigue load estimation of a spar-type floating offshore wind turbine considering wave-current interactions, Int J Fatigue, 116, 421, 10.1016/j.ijfatigue.2018.06.002
Johannessen, 2001
Li, 2013, vol. 55423
Stewart, 2016
Chen, 2022, Review of model experimental methods focusing on aerodynamic simulation of floating offshore wind turbines, Renew Sustain Energy Rev, 157, 10.1016/j.rser.2021.112036
Toft, 2011, Defect distribution and reliability assessment of wind turbine blades, Eng Struct, 33, 171, 10.1016/j.engstruct.2010.10.002
2021
Chou, 2013, Failure analysis of wind turbine blade under critical wind loads, Eng Fail Anal, 27, 99, 10.1016/j.engfailanal.2012.08.002
Gonzaga, 2022, Impact of blade structural and aerodynamic uncertainties on wind turbine loads, Wind Energy, 25, 1060, 10.1002/we.2715
Suzuki, 2019, A new stiffness degradation model for fatigue life prediction of GFRPs under random loading, Int J Fatigue, 119, 220, 10.1016/j.ijfatigue.2018.09.021
Talreja, 2015, A mechanisms-based reliability model for fatigue of composite laminates: composite fatigue reliability, ZAMM - J Appl Math Mech Z Für Angew Math Mech, 95, 1058, 10.1002/zamm.201500047
Lekou, 2009, PRE‐and POST‐THIN: a tool for the probabilistic design and analysis of composite rotor blade strength, Wind Energy Int J Prog Appl Wind Power Convers Technol, 12, 676
Hu, 2013, Simulation-based time-dependent reliability analysis for composite hydrokinetic turbine blades, Struct Multidiscip Optim, 47, 765, 10.1007/s00158-012-0839-8
Mustafa, 2015, Probabilistic micromechanical analysis of composite material stiffness properties for a wind turbine blade, Compos Struct, 131, 905, 10.1016/j.compstruct.2015.06.070
Young, 2017, Methodology for optimizing composite towers for use on floating wind turbines, J Renew Sustain Energy, 9, 10.1063/1.4984259
Liu, 2019, Reliability analysis of blade of the offshore wind turbine supported by the floating foundation, Compos Struct, 211, 287, 10.1016/j.compstruct.2018.12.036
Li, 2022, Assessment of failure rates and reliability of floating offshore wind turbines, Reliab Eng Syst Saf, 228, 10.1016/j.ress.2022.108777
Shittu, 2022, Sensitivity analysis of design parameters for reliability assessment of offshore wind turbine jacket support structures, Int J Nav Archit Ocean Eng, 14, 10.1016/j.ijnaoe.2022.100441
Pokhrel, 2021, Statistical model for fragility estimates of offshore wind turbines subjected to aero-hydro dynamic loads, Renew Energy, 163, 1495, 10.1016/j.renene.2020.10.015
Hsu, 2015, Prediction of extreme tensions in mooring lines of a floating offshore wind turbine in a 100-year storm, vol. 56574
Hsu, 2017, Extreme mooring tensions due to snap loads on a floating offshore wind turbine system, Mar Struct, 55, 182, 10.1016/j.marstruc.2017.05.005
Rendón-Conde, 2015, Reliability assessment of mooring lines for floating structures considering statistical parameter uncertainties, Appl Ocean Res, 52, 295, 10.1016/j.apor.2015.06.011
Horte, 1998
Benassai, 2014, Ultimate and accidental limit state design for mooring systems of floating offshore wind turbines, Ocean Eng, 92, 64, 10.1016/j.oceaneng.2014.09.036
Carswell, 2015, Soil–structure reliability of offshore wind turbine monopile foundations, Wind Energy, 18, 483, 10.1002/we.1710
Mardfekri, 2013, Probabilistic demand models and fragility estimates for offshore wind turbine support structures, Eng Struct, 52, 478, 10.1016/j.engstruct.2013.03.016
Rezaei, 2018, Scour influence on the fatigue life of operational monopile‐supported offshore wind turbines, Wind Energy, 21, 683, 10.1002/we.2187
Abhinav, 2017, Effect of scouring in sand on monopile-supported offshore wind turbines, Mar Georesources Geotechnol, 35, 817, 10.1080/1064119X.2016.1255687
Ma, 2018, Effect of scour on the structural response of an offshore wind turbine supported on tripod foundation, Appl Ocean Res, 73, 179, 10.1016/j.apor.2018.02.007
Breusers, 1977, Local scour around cylindrical Piers, J Hydraul Res, 15, 211, 10.1080/00221687709499645
Sumer, 2002
Patra, 2021, vol. 31, 248
Jonkman, 2019
Zhang, 2022, Seismic analysis of 10 MW offshore wind turbine with large-diameter monopile in consideration of seabed liquefaction, Energies, 15, 2539, 10.3390/en15072539
Zaaijer, 2006, Foundation modelling to assess dynamic behaviour of offshore wind turbines, Appl Ocean Res, 28, 45, 10.1016/j.apor.2006.03.004
Agarwal, 2009, Simulation of offshore wind turbine response for long-term extreme load prediction, Eng Struct, 31, 2236, 10.1016/j.engstruct.2009.04.002
Young, 2011, Global trends in wind speed and wave height, Science, 332, 451, 10.1126/science.1197219
Choe, 2010, Fragility increment functions for deteriorating reinforced concrete bridge columns, J Eng Mech, 136, 969, 10.1061/(ASCE)EM.1943-7889.0000147
Müller, 2018, Application of a Monte Carlo procedure for probabilistic fatigue design of floating offshore wind turbines, Wind Energy Sci, 3, 149, 10.5194/wes-3-149-2018
Hübler, 2021, Analysis of the influence of climate change on the fatigue lifetime of offshore wind turbines using imprecise probabilities, Wind Energy, 24, 275, 10.1002/we.2572
Grabemann, 2008, Climate change impact on extreme wave conditions in the North Sea: an ensemble study, Ocean Dyn, 58, 199, 10.1007/s10236-008-0141-x
Zeng, 2019, A reversal in global terrestrial stilling and its implications for wind energy production, Nat Clim Change, 9, 979, 10.1038/s41558-019-0622-6
Dong, 2013, vol. 432, 258
Valamanesh, 2015, Multivariate analysis of extreme metocean conditions for offshore wind turbines, Struct Saf, 55, 60, 10.1016/j.strusafe.2015.03.002
Vorpahl, 2013, vol. 2, 548
2013
Yeter, 2015, 737
Dong, 2002, Master SN curve method for fatigue evaluation of welded components, Weld Res Counc Bull
Anderson, 2017
Schløer, 2016, The influence of fully nonlinear wave forces on aero-hydro-elastic calculations of monopile wind turbines, Mar Struct, 50, 162, 10.1016/j.marstruc.2016.06.004
Kvittem, 2015, Frequency versus time domain fatigue analysis of a semisubmersible wind turbine tower, J Offshore Mech Arct Eng, 137, 10.1115/1.4028340
Ralby, 2021, Cybersecurity CONCERNS for the energy sector IN the MARITIME DOMAIN, Atl Counc Issue Pap, 1
Liu, 2018, On the failure probability of offshore wind turbines in the China coastal waters due to typhoons: a case study using the OC4-DeepCwind semisubmersible, IEEE Trans Sustain Energy, 10, 522, 10.1109/TSTE.2018.2834471
Sheng, 2021, Reliability and fragility assessment of offshore floating wind turbine subjected to tropical cyclone hazard, Struct Saf, 93, 10.1016/j.strusafe.2021.102138
Tarp-Johansen, 2002
Sørensen, 2015
Toft, 2008
Ramezani, 2020
Ramezani, 2020, Probabilistic model for flexural strength of carbon nanotube reinforced cement-based materials, Compos Struct, 253, 10.1016/j.compstruct.2020.112748
Ramezani, 2021, Elastic modulus formulation of cementitious materials incorporating carbon nanotubes: probabilistic approach, Constr Build Mater, 274, 10.1016/j.conbuildmat.2020.122092
2016
Gardoni, 2002, Probabilistic capacity models and fragility estimates for reinforced concrete columns based on experimental observations, J Eng Mech, 128, 1024, 10.1061/(ASCE)0733-9399(2002)128:10(1024)
Choe, 2008, Probabilistic capacity models and seismic fragility estimates for RC columns subject to corrosion, Reliab Eng Syst Saf, 93, 383, 10.1016/j.ress.2006.12.015
Choe, 2009, Seismic fragility estimates for reinforced concrete bridges subject to corrosion, Struct Saf, 31, 275, 10.1016/j.strusafe.2008.10.001
Melchers, 2018
Tokdar, 2010, vol. 2, 54
Olsson, 2003, On Latin hypercube sampling for structural reliability analysis, Struct Saf, 25, 47, 10.1016/S0167-4730(02)00039-5
Au, 2001, Estimation of small failure probabilities in high dimensions by subset simulation, Probabilistic Eng Mech, 16, 263, 10.1016/S0266-8920(01)00019-4
Melchers, 1994, Structural system reliability assessment using directional simulation, Struct Saf, 16, 23, 10.1016/0167-4730(94)00026-M
Gilks, 1995
Huang, 2017, Overview of structural reliability analysis methods—Part I: local reliability methods, Incert Fiabilité Systèmes Multiphysiques, 17, 1
Der Kiureghian, 1987, Second-order reliability approximations, J Eng Mech, 113, 1208, 10.1061/(ASCE)0733-9399(1987)113:8(1208)
Echard, 2011, An active learning reliability method combining Kriging and Monte Carlo simulation, Struct Saf, 33, 145, 10.1016/j.strusafe.2011.01.002
Bichon, 2008, Efficient global reliability analysis for nonlinear implicit performance functions, AIAA J, 46, 2459, 10.2514/1.34321
Mardfekri, 2015, Service reliability of offshore wind turbines, Int J Sustain Energy, 34, 468, 10.1080/14786451.2013.827683
Agarwal, 2011, Incorporating irregular nonlinear waves in coupled simulation and reliability studies of offshore wind turbines, Appl Ocean Res, 33, 215, 10.1016/j.apor.2011.02.001
Gaertner, 2018, 2015
Choe, 2021, Sequence-based modeling of deep learning with LSTM and GRU networks for structural damage detection of floating offshore wind turbine blades, Renew Energy, 174, 218, 10.1016/j.renene.2021.04.025
Garbatov, 2002, Bayesian updating in the reliability assessment of maintained floating structures, J Offshore Mech Arct Eng, 124, 139, 10.1115/1.1493200
Zhao, 2022, Comparison of environmental contour and response-based approaches for system reliability analysis of floating structures, Struct Saf, 94, 10.1016/j.strusafe.2021.102150
Basu, 2001, Challenges in the application of system reliability Principles to floating structures, 24th Meeting of the United States Japan Natural Resources Marine Facilities Panel, 2001, 1
Dnv, 2018, Offshore standard DNVGL-OS-E301 position mooring, DNV GL, 1
Hou, 2022, Reliability assessment of mooring system for fish cage considering one damaged mooring line, Ocean Eng, 257, 10.1016/j.oceaneng.2022.111626
Liu, 2022, Reliability assessment of a floating offshore wind turbine mooring system based on the TLBO algorithm, Appl Ocean Res, 124, 10.1016/j.apor.2022.103211
Zhao, 2021, Reliability analysis of mooring lines for floating structures using ANN-BN inference, Proc Inst Mech Eng Part M J Eng Marit Environ, 235, 236
Andrawus, 2011, Offshore wind turbine blade coating deterioration maintenance model, Wind Eng, 35, 551, 10.1260/0309-524X.35.5.551
Dong, 2012, Fatigue reliability analysis of the jacket support structure for offshore wind turbine considering the effect of corrosion and inspection, Reliab Eng Syst Saf, 106, 11, 10.1016/j.ress.2012.06.011
Shittu, 2020, Structural reliability assessment of offshore wind turbine support structures subjected to pitting corrosion‐fatigue: a damage tolerance modelling approach, Wind Energy, 23, 2004, 10.1002/we.2542
Tarp-Johansen, 2006
Rose, 2012, Quantifying the hurricane risk to offshore wind turbines, Proc Natl Acad Sci, 109, 3247, 10.1073/pnas.1111769109
Mardfekri, 2015, Multi‐hazard reliability assessment of offshore wind turbines, Wind Energy, 18, 1433, 10.1002/we.1768
Katsanos, 2017, Multi-hazard response analysis of a 5MW offshore wind turbine, Procedia Eng, 199, 3206, 10.1016/j.proeng.2017.09.548
Velarde, 2020, Fatigue reliability of large monopiles for offshore wind turbines, Int J Fatigue, 134, 10.1016/j.ijfatigue.2020.105487
Vahdatirad, 2014, Reliability analysis of a gravity-based foundation for wind turbines: a code-based design assessment, Geotechnique, 64, 635, 10.1680/geot.13.P.152
Morató, 2021, Calibration of safety factors for offshore wind turbine support structures using fully coupled simulations, Mar Struct, 75, 10.1016/j.marstruc.2020.102880
Li, 2020, Long-term fatigue damage assessment for a floating offshore wind turbine under realistic environmental conditions, Renew Energy, 159, 570, 10.1016/j.renene.2020.06.043
Gao, 2020, Probabilistic modeling of stiffness degradation for fiber reinforced polymer under fatigue loading, Eng Fail Anal, 116, 10.1016/j.engfailanal.2020.104733
Yang, 1974, Reliability analysis of aircraft structures under random loading and periodic inspection, AIAA J, 12, 1623, 10.2514/3.49570
