[1] Global Wind Energy Council. Global wind report 2024[R/OL]. 2024-04-16. https://www.gwec.net/reports/globalwindreport/2024.
[2] 赵大文. 漂浮式风电规模化开发的技术挑战[J]. 能源工程, 2024, 44(6): 13-22.
Zhao D W.The technical challenges of large-scale deployment of floating offshore wind power[J]. Energy Engineering, 2024, 44(6): 13-22.
[3] Maienza C, Avossa A M, Ricciardelli F, et al.A life cycle cost model for floating offshore wind farms[J]. Applied Energy, 2020, 266: 114716.
[4] 陈金路, 张翔宇, 郑向远, 等. 海上风电智能运维关键技术与发展建议[J]. 海洋开发与管理, 2023, 40(6): 117-128.
Chen J L, Zhang X Y, Zheng X Y, et al.Key technologies and development suggestions for intelligent operation and maintenance of offshore wind power[J]. Ocean Development and Management, 2023, 40(6): 117-128.
[5] Han X, Leira B J, Sævik S, et al.Validation of vessel seakeeping model tuning algorithm based on measurements at model scale[J]. Marine Structures, 2021, 80: 103083.
[6] Wang M M, Leng J X, Feng S Z, et al.Precisely modeling offshore jacket structures considering model parameters uncertainty using Bayesian updating[J]. Ocean Engineering, 2022, 258: 111410.
[7] Devriendt C, Magalhães F, Weijtjens W, et al.Structural health monitoring of offshore wind turbines using automated operational modal analysis[J]. Structural Health Monitoring, 2014, 13(6): 644-659.
[8] 温斌荣, 田新亮, 李占伟, 等. 大型漂浮式风电装备耦合动力学研究: 历史、进展与挑战[J]. 力学进展, 2022, 52(4): 731-808.
Wen B R, Tian X L, Li Z W, et al.Coupling dynamics of floating wind turbines: history, progress and challenges[J]. Advances in Mechanics, 2022, 52(4): 731-808.
[9] Zeng X M, Shao Y L, Feng X Y, et al.Nonlinear hydrodynamics of floating offshore wind turbines: a review[J]. Renewable and Sustainable Energy Reviews, 2024, 191: 114092.
[10] Shi W, Wang J Z, Ren Y J, et al.Novel conceptual design and performance analysis of a semi-submersible platform for 22 MW floating offshore wind turbine[J]. Energy, 2025, 334: 137605.
[11] 邓露, 王彪, 肖志颖, 等. 半潜型浮式风机平台研究综述[J]. 船舶工程, 2016, 38(4): 1-6.
Deng L, Wang B, Xiao Z Y, et al.Overview on study of semi-submersible platform for floating offshore wind turbines[J]. Ship Engineering, 2016, 38(4): 1-6.
[12] Bredmose H, Lemmer F, Borg M, et al.The triple spar campaign: model tests of a 10 MW floating wind turbine with waves, wind and pitch control[J]. Energy Procedia, 2017, 137: 58-76.
[13] Huijs F, Vlasveld E, Gormand M, et al.Integrated design of a semi-submersible floating vertical axis wind turbine (VAWT) with active blade pitch control[J]. Journal of Physics: Conference Series, 2018, 1104: 012022.
[14] 张建华, 王小宇, 刘志成, 等. 浮式风机平台设计研究综述[J]. 中国舰船研究, 2024, 19(4): 21-31.
Zhang J H, Wang X Y, Liu Z C, et al.A review of platform designs for floating offshore wind turbines[J]. Chinese Journal of Ship Research, 2024, 19(4): 21-31.
[15] Duan F, Hu Z Q, Niedzwecki J M.Model test investigation of a spar floating wind turbine[J]. Marine Structures, 2016, 49: 76-96.
[16] Wan L, Gao Z, Moan T.Model test of the STC concept in survival modes[C]// ASME 2014 33rd International Conference on Ocean, Offshore and Arctic Engineering. San Francisco, California, USA, 2014: V09AT09010.
[17] 李磊, 肖阳宏, 徐鹏, 等. 分离盘对Spar型浮式风力机涡激运动抑制特性的试验与数值研究[J]. 太阳能学报, 2024, 45(2): 181-188.
Li L, Xiao Y H, Xu P, et al.Experimental and numerical study of suppression effect of splitter plate on vortex-induced motions of Spar-type floating offshore wind turbine[J]. Acta Energiae Solaris Sinica, 2024, 45(2): 181-188.
[18] 李伟, 唐友刚, 曲晓奇, 等. Spar平台垂荡-横摇-纵摇非线性动力响应模型试验[J]. 哈尔滨工程大学学报, 2019, 40(3): 534-539.
Li W, Tang Y G, Qu X Q, et al.Experimental study on nonlinear motion of Spar platform for heave-roll-pitch[J]. Journal of Harbin Engineering University, 2019, 40(3): 534-539.
[19] Ren Y J, Venugopal V, Shi W.Dynamic analysis of a multi-column TLP floating offshore wind turbine with tendon failure scenarios[J]. Ocean Engineering, 2022, 245: 110472.
[20] Recharge news. Marin tests floating vertical-axis wind turbine[EB/OL]. (2013-05-12) [2025-11-03]. https://www.rechargenews.com/offshore-wind/marin-tests-floating-vertical-axis-wind-turbine/1-1-857001.
[21] 国际风力发电网. 国内外海上漂浮式风电项目案例[EB/OL]. (2022-11-22) [2025-05-19]. https://wind.in-en.com/html/wind-2424460.shtml.
[22] Principle power. The first floating wind farm in continental Europe is now fully operational[EB/OL].(2020-07-27)[2025-05-19]. https://www.principlepower.com/news/the-first-floating-wind-farm-in-continental-europe-is-now-fully-operational.
[23] Principle power. KOWL: World’s largest floating windfarm fully operational[EB/OL]. (2021-10-19)[2025-05-19]. https://www.principlepower.com/news/kowl-worlds-largest-floating-windfarm-fully-operational.
[24] 中国日报网. 全球首个漂浮式风渔融合项目——“国能共享号”平台并网发电[EB/OL]. (2024-06-28)[2025-05.19]. https://fj.chinadaily.com.cn/a/202406/28/WS667e79dba3107cd55d269125.html.
[25] 东方风力发电网. “明阳天成号”,来了！[EB/OL]. (2024-07-08)[2026-10-04]. http://www.eastwp.net/news/show.php?itemid=75099.
[26] Wind power market. World’s largest floating offshore wind farm officially opens[EB/OL]. (2023-08-24)[2025-05-19]. https://mp.weixin.qq.com/s?__biz=Mzg5MDg1NTI0Mg==&mid=2247500365&idx=1&sn=d2258cf206b112ef4b8423ec02bd8bb5.
[27] 国际风力发电网. 全球首款无塔筒浮式风机,表现优异！[EB/OL]. (2023-10-25)[2025-5-19]. https://wind.in-en.com/html/wind-2438416.shtml.
[28] Construction Review. Provence grand large the mediterranean’s first floating offshore wind farm provence grand large[EB/OL]. (2025-06-18)[2025-6-12]. https://constructionreviewonline.com/news/provence-grand-large-the-mediterraneans-first-floating-offshore-wind-farm/.
[29] Ljung L.System Identification[M]. Boston: Birkhäuser, 1987.
[30] 刘增辉, 陈建兵, 宋玉鹏, 等. 考虑桨叶伺服控制的浮式风机多刚体动力学建模与验证[J]. 振动工程学报, 2023, 36(4): 892-902.
Liu Z H, Chen J B, Song Y P, et al.Modeling and verification of multi-rigid body dynamics of floating offshore wind turbines considering servo control[J]. Journal of Vibration Engineering, 2023, 36(4): 892-902.
[31] 杨礼东, 姜玉挺, 李昊, 等. 不同动力学建模方法对浮式风机系统动力响应的影响研究[J]. 舰船科学技术, 2023, 45(12): 73-81.
Yang L D, Jiang Y T, Li H, et al.Research on the influence of different dynamic models on the response of FOWT[J]. Ship Science and Technology, 2023, 45(12): 73-81.
[32] Xue W F.Design, numerical modelling and analysis of a spar floater supporting the DTU 10 MW wind turbine[D]. Trondheim, Norway: Norwegian University of Science and Technology, 2016.
[33] Bonnefoy F, Leroy V, Mojallizadeh M R, et al.Multidimensional hybrid software-in-the-loop modeling approach for experimental analysis of a floating offshore wind turbine in wave tank experiments[J]. Ocean Engineering, 2024, 309: 118390.
[34] Zhou Y M, Feng S S, Guo X J, et al.Initial design of a novel barge-type floating offshore wind turbine in shallow water[J]. Journal of Marine Science and Engineering, 2023, 11(3): 464.
[35] 曲晓奇, 李红涛, 唐广银, 等. 海上浮式风力机动力响应分析与数值仿真关键技术研究[J]. 海洋工程装备与技术, 2023, 10(2): 72-78.
Qu X Q, Li H T, Tang G Y, et al.Research on key technologies of dynamic analysis and numerical simulation for the floating offshore wind turbine[J]. Ocean Engineering Equipment and Technology, 2023, 10(2): 72-78.
[36] 贺广零, 仲政. 海上垂直轴风力发电机组结构分析研究进展[J]. 电力建设, 2011, 32(12): 1-8.
He G L, Zhong Z.A review on the structural analysis of offshore vertical axis wind turbine systems[J]. Electric Power Construction, 2011, 32(12): 1-8.
[37] Yang H K, Zhao M Y, Tian Z T, et al.Aerodynamic response and wake evolution of floating vertical axis wind turbines under different motion modes and parameters[J]. Energy, 2025, 337: 138680.
[38] Liu Q S, Bashir M, Iglesias G, et al.Investigation of aero-hydro-elastic-mooring behavior of a H-type floating vertical axis wind turbine using coupled CFD-FEM method[J]. Applied Energy, 2024, 372: 123816.
[39] Deng S J, Liu Y Y, Ning D Z.Fully coupled aero-hydrodynamic modelling of floating offshore wind turbines in nonlinear waves using a direct time-domain approach[J]. Renewable Energy, 2023, 216: 119016.
[40] 张印, 冀卫东, 李荣富. 基于实测数据对半潜水漂浮式风力发电机的风浪耦合响应研究[J]. 能源工程, 2024, 44(6): 123-128.
Zhang Y, Ji W D, Li R F.Investigation of aerodynamic performance and hydrodynamic motion of the semisubmersible FOWT based on IEA Task30 data[J]. Energy Engineering, 2024, 44(6): 123-128.
[41] Evro S, Veith J, Akinwale A, et al.Enhancing floating offshore wind turbine systems through multi-scale coupled modeling[J]. Sustainable Energy Technologies and Assessments, 2025, 77: 104299.
[42] Cai Y F, Li X, Zhao H S, et al.Developing a multi-region coupled analysis method for floating offshore wind turbine based on OpenFOAM[J]. Renewable Energy, 2025, 238: 122026.
[43] Augustyn D, Smolka U, Tygesen U T, et al.Data-driven model updating of an offshore wind jacket substructure[J]. Applied Ocean Research, 2020, 104: 102366.
[44] Zhou L, Li Y, Liu F S, et al.Investigation of dynamic characteristics of a monopile wind turbine based on sea test[J]. Ocean Engineering, 2019, 189: 106308.
[45] Xu P F, Chen J Y, Li J, et al.Using Bayesian updating for monopile offshore wind turbines monitoring[J]. Ocean Engineering, 2023, 280: 114801.
[46] Li H J, Liu F S, Hu S J.Employing incomplete complex modes for model updating and damage detection of damped structures[J]. Science in China Series E: Technological Sciences, 2008, 51(12): 2254-2268.
[47] Song M M, Christensen S, Moaveni B, et al.Joint parameter-input estimation for virtual sensing on an offshore platform using output-only measurements[J]. Mechanical Systems and Signal Processing, 2022, 170: 108814.
[48] Weil M, Sastre Jurado C, Weijtjens W, et al.Machine learning and uncertainty quantification to track and monitor natural frequencies in vibration-based SHM applied to offshore wind turbines[J]. Data-Centric Engineering, 2025, 6: e7.
[49] Moynihan B, Mehrjoo A, Moaveni B, et al.System identification and finite element model updating of a 6 MW offshore wind turbine using vibrational response measurements[J]. Renewable Energy, 2023, 219: 119430.
[50] Tygesen U T, Worden K, Rogers T, et al.State-of-the-art and future directions for predictive modelling of offshore structure dynamics using machine learning[C]//Dynamics of Civil Structures, Volume 2. Cham:Springer Intemational Publishing,2019: 223-233.
[51] Tempel J V D. Design of Support Structures for Offshore Wind Turbines[M]. Delft: Published and distributed by the author, 2006.
[52] 张皓, 李东升, 李宏男. 有限元模型修正研究进展: 从线性到非线性[J]. 力学进展, 2019, 49(1): 542-575.
Zhang H, Li D S, Li H N.Recent progress on finite element model updating: from linearity to nonlinearity[J]. Advances in Mechanics, 2019, 49(1): 542-575.
[53] Xu K, Liu F S, Liu D Z.A multifield loads evaluation method for offshore wind turbines considering multivariate coherence effect[J]. Ocean Engineering, 2023, 280: 114586.
[54] Caglio L, Sadeqi A, Stang H, et al.Damage identification for offshore structure via FE-aided Kalman filter[J]. International Journal of Offshore and Polar Engineering, 2024, 34(4): 344-351.
[55] Zhang C, Han X, Li C H, et al.Modal parameter identification of jacket-type offshore wind turbines under operating conditions[J]. Journal of Marine Science and Engineering, 2024, 12(11): 2083.
[56] Yi W, Li R P, Wang F D, et al.Structural damage localisation based on generalised flexibility change rate curvature and data fusion technology[J]. Nondestructive Testing and Evaluation, 2025, 40(2): 812-830.
[57] Zhang Y, Guo J, Hao N, et al.Damage detection on hull girder of ship subjected to explosion loading[J]. Ocean Engineering, 2020, 198: 107006.
[58] Lin R M, Zhu J.Model updating of damped structures using FRF data[J]. Mechanical Systems and Signal Processing, 2006, 20(8): 2200-2218.
[59] Liu F S, Li X G, Song H, et al.A developed model updating method based on extended frequency response functions and its application study of offshore structures[J]. Applied Ocean Research, 2023, 135: 103543.
[60] 费庆国, 张令弥. 基于径向基神经网络的有限元模型修正研究[J]. 南京航空航天大学学报, 2004, 36(6): 748-752.
Fei Q G, Zhang L M.Finite element model updating using radial basis function neural network[J]. Journal of Nanjing University of Aeronautics & Astronautics, 2004, 36(6): 748-752.
[61] 任伟新, 陈华斌. 基于响应面的桥梁有限元模型修正[J]. 土木工程学报, 2008, 41(12): 73-78.
Ren W X, Chen H B.Response-surface based on finite element model updating of bridge structures[J]. China Civil Engineering Journal, 2008, 41(12): 73-78.
[62] Hu S J, Li H J, Wang S Q.Cross-model cross-mode method for model updating[J]. Mechanical Systems and Signal Processing, 2007, 21(4): 1690-1703.
[63] Cong S, James Hu S L, Li H J. Using incomplete complex modes for model updating of monopiled offshore wind turbines[J]. Renewable Energy, 2022, 181: 522-534.
[64] Xu K, Liu Q, Zhao Z X, et al.Evaluation of motion-vibration couples for semi-submersible offshore floating wind turbines[C]// ASME 2024 43rd International Conference on Ocean, Offshore and Arctic Engineering. Singapore, Singapore, 2024.
[65] Feng X H, Lin Y G, Gu Y J, et al.Indirect load measurement method and experimental verification of floating offshore wind turbine[J]. Ocean Engineering, 2024, 303: 117734.
[66] Xu K, Liu F.A wind load estimation method for offshore wind turbines considering multivariate coherence effects[C]//Proceedings of the International Offshore and Polar Engineering Conference. Shanghai, China, 2022, 302: 307.
[67] Nielsen U D, Mounet R E G, Brodtkorb A H. Tuning of transfer functions for analysis of wave-ship interactions[J]. Marine Structures, 2021, 79: 103029.
[68] Lu H C, Chang S, Chen C H, et al.Replacement of force-to-motion relationship with state-space model for dynamic response analysis of floating offshore structures[J]. Applied Ocean Research, 2022, 119: 102977.
[69] Radhakrishnan G, Han X, Leira B J, et al.Calibration of high-fidelity hydrodynamic models utilizing on-site vessel response measurements[J]. Ocean Engineering, 2023, 278: 114076.
[70] Schirmann M L, Collette M D, Gose J W.Data-driven models for vessel motion prediction and the benefits of physics-based information[J]. Applied Ocean Research, 2022, 120: 102916.
[71] 胡亚琪, 贺尔铭, 杨佳佳, 等. 海上浮动式风力机水动力辐射载荷仿真的状态空间实现[J]. 西北工业大学学报, 2017, 35(5): 804-812.
Hu Y Q, He E M, Yang J J, et al.State space realization of the hydrodynamic radiation load for offshore floating wind turbines[J]. Journal of Northwestern Polytechnical University, 2017, 35(5): 804-812.
[72] Skandali D, Lourens E, Ogink R H M. Calibration of response amplitude operators based on measurements of vessel motions and directional wave spectra[J]. Marine Structures, 2020, 72: 102774.
[73] Schirmann M L, Gose J W, Collette M D.A comparison of physics-informed data-driven modeling architectures for ship motion predictions[J]. Ocean Engineering, 2023, 286: 115608.
[74] Nielsen U D, Mounet R E G, Brodtkorb A H. Parameterised transfer functions with associated confidence bands[J]. Applied Ocean Research, 2022, 125: 103250.
[75] Ren Z R, Han X, Yu X J, et al.Data-driven simultaneous identification of the 6DOF dynamic model and wave load for a ship in waves[J]. Mechanical Systems and Signal Processing, 2023, 184: 109422.
[76] Li W H, Wu C C, Lin S Y, et al.Active heave compensation of marine winch based on hybrid neural network prediction and sliding mode controller with a high-gain observer[J]. Ocean Engineering, 2025, 322: 120448.
[77] Shi W, Hu L H, Lin Z B, et al.Short-term motion prediction of floating offshore wind turbine based on muti-input LSTM neural network[J]. Ocean Engineering, 2023, 280: 114558.
[78] Zhang L, Draycott S, Stansby P.System identification and generalisation of elastic mooring line forces on a multi-float wave energy converter platform in steep irregular waves[J]. Mechanical Systems and Signal Processing, 2024, 214: 111259.
[79] Gorostidi N, Pardo D, Nava V.Diagnosis of the health status of mooring systems for floating offshore wind turbines using autoencoders[J]. Ocean Engineering, 2023, 287: 115862.
[80] Bjørni F A, Lien S, Midtgarden T A, et al.Prediction of dynamic mooring responses of a floating wind turbine using an artificial neural network[J]. IOP Conference Series: Materials Science and Engineering, 2021, 1201(1): 012023.
[81] Walker J, Coraddu A, Collu M, et al.Digital twins of the mooring line tension for floating offshore wind turbines to improve monitoring, lifespan, and safety[J]. Journal of Ocean Engineering and Marine Energy, 2022, 8(1): 1-16.
[82] Hu L H, Shi W, Hu W F, et al.Short-term prediction of mooring tension for floating offshore wind turbines under typhoon conditions based on the VMD-MI-LSTM method[J]. Renewable and Sustainable Energy Reviews, 2025, 216: 115606.
[83] Radhakrishnan G, Leira B J, Gao Z, et al.Motion response prediction of marine vessels based on hydrodynamic models updated through on-site measurements[C]// ASME 2022 41st International Conference on Ocean, Offshore and Arctic Engineering.Hamburg, Germany, 2022.
[84] 杜其通, 刘朝雨, 闵剑, 等. 基于人工神经网络的动力学参数辨识法①[J]. 高技术通讯, 2020, 30(5): 495-500.
Du Q T, Liu Z Y, Min J, et al.Dynamic parameter identification method based on artificial neural network[J]. Chinese High Technology Letters, 2020, 30(5): 495-500.
[85] 赵百岗, 张显库, 李争, 等. 船舶运动辨识建模研究现状与展望[J]. 舰船科学技术, 2021, 43(23): 21-24.
Zhao B G, Zhang X K, Li Z, et al.Research on ship motion identification modeling[J]. Ship Science and Technology, 2021, 43(23): 21-24.
[86] World Meteorological Organization.Guide to instruments and methods of observation: volume I-measurement of meteorological variables[R]. Geneva: WMO, 2024.
[87] Bitner-Gregersen E M, Hagen Ø. Uncertainties in data for the offshore environment[J]. Structural Safety, 1990, 7(1): 11-34.
[88] ECMWF. IFS Documentation—CY41R1 operational implementation: Part VII, ECMWF wave model[M/OL]. Reading, UK: ECMWF, 2015. https://www.ecmwf.int/en/elibrary/74331-ifs-documentation-cy41r1-part-vii-ecmwf-wave-model.
[89] Tolman H L. User manual and system documentation of WAVEWATCH III version 5.16 [EB/OL]. (2014-10-10)[2025-07-28]. https://polar.ncep.noaa.gov/waves/wavewatch/manual.v5.16.pdf
[90] Hersbach H, Bell B, Berrisford P, et al.The ERA5 global reanalysis[J]. Quarterly Journal of the Royal Meteorological Society, 2020, 146(730): 1999-2049.
[91] Han X, Ren Z R, Leira B J, et al.Adaptive identification of lowpass filter cutoff frequency for online vessel model tuning[J]. Ocean Engineering, 2021, 236: 109483.
[92] Han X, Leira B J, Sævik S, et al.A framework for condition monitoring and risk-based decision support involving a vessel state observer[C]//ASME 2021 40th International Conference on Ocean, Offshore and Arctic Engineering Virtual, Online, 2021: V002T02A018
[93] Han X, Leira B J, Sævik S.Vessel hydrodynamic model tuning by Discrete Bayesian updating using simulated onboard sensor data[J]. Ocean Engineering, 2021, 220: 108407.
[94] 万德成, 程萍, 黄扬, 等. 海上浮式风机气动力-水动力耦合分析研究进展[J]. 力学季刊, 2017, 38(3): 385-407.
Wan D C, Cheng P, Huang Y, et al.Overview of study on aero-and hydro-dynamic interaction for floating offshore wind turbines[J]. Chinese Quarterly of Mechanics, 2017, 38(3): 385-407.
[95] Yang H S, Tongphong W, Ali A, et al.Comparison of different fidelity hydrodynamic-aerodynamic coupled simulation code on the 10 MW semi-submersible type floating offshore wind turbine[J]. Ocean Engineering, 2023, 281: 114736.
[96] Robertson A, Jonkman J, Vorpahl F, et al.Offshore code comparison collaboration continuation within IEA wind task 30: phase II results regarding a floating semisubmersible wind system[C]//ASME 2014 33rd International Conference on Ocean, Offshore and Arctic Engineering. San Francisco, California, USA, 2014.
[97] Robertson A N, Wendt F, Jonkman J M, et al.OC5 project phase II: validation of global loads of the DeepCwind floating semisubmersible wind turbine[J]. Energy Procedia, 2017, 137: 38-57.
[98] 张敏, 徐霄龙, 陈玉静, 等. 环境激励下海上风电结构模态参数识别[J]. 中国海洋大学学报(自然科学版), 2016, 46(8): 122-130.
Zhang M, Xu X L, Chen Y J, et al.Modal parameter identification for offshore wind turbine structures under ambient excitation[J]. Periodical of Ocean University of China, 2016, 46(8): 122-130.
[99] Chen F H, Peng Z R.A structural response reconstruction method based on a continuous-discrete state space model[J]. Journal of Mechanical Science and Technology, 2023, 37(11): 5713-5723.
[100] Ilewicz W, Skrzypczyk K, Galuszka A, et al.Estimation of uncertainty of IMU module measurement results[C]//2018 International Conference on Signals and Electronic Systems (ICSES). Kraków, Poland, 2018: 92-95.
[101] Zhang C W, Mousavi A A, Masri S F, et al.Vibration feature extraction using signal processing techniques for structural health monitoring: a review[J]. Mechanical Systems and Signal Processing, 2022, 177: 109175.
[102] Wang Y, Wang D, Hou B C, et al.Robust optimized weights spectrum: Enhanced interpretable fault feature extraction method by solving frequency fluctuation problem[J]. Mechanical Systems and Signal Processing, 2025, 222: 111798.
[103] Wang S S, Moan T, Jiang Z Y.Influence of variability and uncertainty of wind and waves on fatigue damage of a floating wind turbine drivetrain[J]. Renewable Energy, 2022, 181(C): 870-897.
[104] Xu K, Larsen K, Shao Y L, et al.Design and comparative analysis of alternative mooring systems for floating wind turbines in shallow water with emphasis on ultimate limit state design[J]. Ocean Engineering, 2021, 219: 108377.
[105] Wang Y P, Lu Q, Yao T C, et al.Global sensitivity analysis of a semi-submersible floating wind turbine using a neural network fitting method[J]. Ocean Engineering, 2023, 285: 115351.
[106] Jiang Z Y.Mooring design for floating wind turbines: a review[J]. Renewable and Sustainable Energy Reviews, 2025, 212: 115231.
[107] 陈刚. 海上风电工程结构监测技术应用[J]. 水利规划与设计, 2018(4): 127-132.
Chen G.Application of structural monitoring technology for offshore wind power engineering[J]. Water Resources Planning and Design, 2018(4): 127-132.
[108] 刘英芳, 黎国彦, 李志雨, 等. 非线性波浪载荷对15 MW半潜型浮式风机基础运动响应的影响研究[J]. 海洋工程, 2025, 43(3): 16-26.
Liu Y F, Li G Y, Li Z Y, et al.Study on the effect of nonlinear wave loads on the motion response of the foundation of a 15 MW semi-submersible floating wind turbine[J]. The Ocean Engineering, 2025, 43(3): 16-26.
[109] 董霄峰. 海上风电结构模态参数识别及动态荷载反分析研究[D]. 天津: 天津大学, 2011.
Dong X F.Modal parameter identification and inverse analysis research of dynamic loads on offshore wind power structures[D]. Tianjin: Tianjin University, 2011.
[110] 张景新, 赵永生, 樊翔, 等. 海上浮式风力机支撑结构的流固耦合动力学研究[J]. 力学与实践, 2022, 44(5): 1093-1104.
Zhang J X, Zhao Y S, Fan X, et al.Investigation of the fluid and structure interaction for the platform of offshore floating wind turbine[J]. Mechanics in Engineering, 2022, 44(5): 1093-1104.
[111] 徐野, 熊鹰, 黄政. 螺旋桨定常/非定常水动力性能 CFD不确定度分析[J]. 海军工程大学学报, 2019, 31(6): 40-45.
Xu Y, Xiong Y, Huang Z.Uncertainty analysis of CFD for steady/transient hydrodynamic performance of propeller[J]. Journal of Naval University of Engineering, 2019, 31(6): 40-45.
[112] Zhao Y L, Yang J H, Faes M G R, et al. The sub-interval similarity: a general uncertainty quantification metric for both stochastic and interval model updating[J]. Mechanical Systems and Signal Processing, 2022, 178: 109319.
[113] Ponsi F, Bassoli E, Vincenzi L.Bayesian and deterministic surrogate-assisted approaches for model updating of historical masonry towers[J]. Journal of Civil Structural Health Monitoring, 2022, 12(6): 1469-1492.
[114] Ni P H, Li J, Hao H, et al.Probabilistic model updating via variational Bayesian inference and adaptive Gaussian process modeling[J]. Computer Methods in Applied Mechanics and Engineering, 2021, 383: 113915.
[115] Ni P H, Han Q, Du X L, et al.Bayesian model updating of civil structures with likelihood-free inference approach and response reconstruction technique[J]. Mechanical Systems and Signal Processing, 2022, 164: 108204.
[116] Zou J, Lourens E M, Cicirello A.Virtual sensing of subsoil strain response in monopile-based offshore wind turbines via Gaussian process latent force models[J]. Mechanical Systems and Signal Processing, 2023, 200: 110488.
[117] Amin A, Bibo A M, Panyam M, et al.A Bayesian deep learning framework for reliable fault diagnosis in wind turbine gearboxes under various operating conditions[J]. Wind Engineering, 2024, 48(2): 297-309.
[118] Han X, Sævik S, Leira B J.Tuning of vessel parameters including sea state dependent roll damping[J]. Ocean Engineering, 2021, 233: 109084.
[119] Li S, Wu W H, Yao W A.Bayesian based updating of hull and mooring structure parameters of semi-submersible platforms using monitoring data[J]. Ocean Engineering, 2023, 272: 113865.
[120] Palma G, Bardazzi A, Lucarelli A, et al.Analysis, forecasting, and system identification of a floating offshore wind turbine using dynamic mode decomposition[J]. Journal of Marine Science and Engineering, 2025, 13(4): 656.
[121] Li N, Zou G, Feng Y, et al.Probabilistic prediction of floating offshore wind turbine platform motions via uncertainty quantification and information integration[J]. Journal of Marine Science and Engineering, 2024, 12(6): 886.
[122] Gelman A, Carlin J B, Stern H S, et al.Bayesian Data Analysis[M]. 3rd ed. New York: Chapman and Hall/CRC, 2013.
[123] Han X, Leira B J, Sævik S, et al.Onboard tuning of vessel seakeeping model parameters and sea state characteristics[J]. Marine Structures, 2021, 78: 102998.