Research graph
References from A measured-data-driven surrogate framework with hyperparameter optimization for fatigue damage prediction of FOWTs. Local targets link to admitted publications; unresolved targets remain external evidence.
Probabilistic modeling for long-term fatigue reliability of wind turbines based on Markov model and subset simulation
10.1016/j.ijfatigue.2023.107685 · 2023 · External reference
Hydrodynamic analysis of three semi-submersible floating offshore wind turbines under wave and current conditions
10.1016/j.oceaneng.2025.121322 · 2025 · External reference
Hydroelastic response and fatigue life prediction of floating offshore wind turbine platforms under complex sea states
10.1016/j.oceaneng.2025.122635 · 2025 · External reference
Fatigue analysis of offshore steel structures: a systematic review
10.1016/j.istruc.2025.109489 · 2025 · External reference
Damage identification analysis of local deformation in wind turbine tower structures based on modal parameters
10.1016/j.istruc.2025.109421 · 2025 · External reference
Fatigue modeling using neural networks: a comprehensive review
10.1111/ffe.13640 · 2022 · External reference
Long-term fatigue damage assessment of a 22 MW offshore wind turbine considering climate change scenarios
10.1016/j.istruc.2025.110182 · 2025 · External reference
Data-driven wind-induced response prediction for slender civil infrastructure: progress, challenges and opportunities
10.1016/j.istruc.2025.108650 · 2025 · External reference
Deep learning based short-term motion prediction of floating wind turbine under shutdown condition
10.1016/j.apor.2024.104147 · 2024 · External reference
Hybrid meta-optimized GNN network to optimize pitch angle and active power of wind turbines for reducing fatigue load
10.1016/j.energy.2026.140309 · 2026 · External reference
Gradient-based design optimization of semi-submersible floating wind turbines
10.1016/j.marstruc.2025.103951 · 2026 · External reference
Structural modeling and optimization design of 15MW semi-submersible floating wind turbine platform based on intelligent algorithms
10.1016/j.energy.2025.137947 · 2025 · External reference
An optimization framework for mooring design of floating offshore wind turbines using a genetic algorithm based on a surrogate model
10.1016/j.renene.2025.122807 · 2025 · External reference
Multi-objective optimization design of a mooring system based on the surrogate model
10.3390/jmse12101853 · 2024 · External reference
Optimization of the mooring system of a floating wind turbine by developing a surrogate model-assisted evolutionary framework
10.1016/j.apor.2024.104373 · 2025 · External reference
Addressing material uncertainty in reliability analysis of floating offshore mooring through probabilistic meta-model developed with Stochastic Kriging technique
10.1016/j.oceaneng.2025.121697 · 2025 · External reference
New conceptual design and dynamic performance analysis of the stepped single-column shallow-draft floating wind turbine under mooring failure conditions
10.1016/j.energy.2026.141034 · 2026 · External reference
Aerodynamic and structural Co-optimization of offshore wind turbine blades using a novel adaptive surrogate-based optimization method
10.1016/j.oceaneng.2025.122291 · 2025 · External reference
Optimized design of wind turbine airfoil aerodynamic performance and structural strength based on surrogate model
10.1016/j.oceaneng.2023.116279 · 2023 · External reference
Multidisciplinary reliability-based design optimization of floating offshore wind turbine support structure and tuned mass-damper-inerter
10.1016/j.ress.2025.111715 · 2026 · External reference
Wind turbine control co-design using dynamic system derivative function surrogate model (DFSM) based on OpenFAST linearization
10.1016/j.apenergy.2025.126203 · 2025 · External reference
Research on optimization design of wind turbine steel tower foundation based on machine learning
10.1016/j.istruc.2025.109840 · 2025 · External reference
Comparison of probabilistic structural reliability methods for ultimate limit state assessment of wind turbines
10.1016/j.strusafe.2024.102502 · 2024 · External reference
The surrogate model for short-term extreme response prediction based on ANN and Kriging algorithm
10.1016/j.apor.2024.104196 · 2024 · External reference
Physics-informed neural network surrogate model for bypassing blade element momentum theory in wind turbine aerodynamic load estimation
10.1016/j.renene.2024.120122 · 2024 · External reference
Stress-cycle fatigue design with Kriging applied to offshore wind turbines
10.1016/j.ijfatigue.2019.04.012 · 2019 · External reference
Structural reliability assessment through surrogate based importance sampling with dimension reduction
2021 · External reference
An efficient active learning Kriging approach for expected fatigue damage assessment applied to wind turbine structures
10.1016/j.oceaneng.2024.118034 · 2024 · External reference
Efficient fatigue damage estimation of offshore wind turbine foundation under wind-wave actions
10.1016/j.jcsr.2024.108903 · 2024 · External reference
Surrogate model uncertainty in wind turbine reliability assessment
10.1016/j.renene.2019.11.101 · 2020 · External reference
Surrogate model based on ANN for the evaluation of the fundamental frequency of offshore wind turbines supported on jackets
10.1016/j.compstruc.2022.106917 · 2023 · External reference
Gaussian process regression for fatigue reliability analysis of offshore wind turbines
10.1016/j.strusafe.2020.102020 · 2021 · External reference
On long-term fatigue damage estimation for a floating offshore wind turbine using a surrogate model
10.1016/j.renene.2024.120238 · 2024 · External reference
Long-term fatigue damage assessment for a floating offshore wind turbine under realistic environmental conditions
10.1016/j.renene.2020.06.043 · 2020 · External reference
ANN-based surrogate model for the structural evaluation of jacket support structures for offshore wind turbines
10.1016/j.oceaneng.2024.119984 · 2025 · External reference
Efficient reliability analysis for offshore wind turbines: Leveraging SVM and augmented oversampling technique
10.1016/j.strusafe.2025.102597 · 2025 · External reference
Multi-hazard fragility analysis of offshore wind turbine portfolios using surrogate models
10.1016/j.rser.2022.112552 · 2022 · External reference
Neural network approaches for real-time fatigue life estimation by Surrogating the rainflow counting method
10.1016/j.ijfatigue.2025.108941 · 2025 · External reference
Parallel active learning XGBoost for structural reliability analysis with application to an onshore wind turbine tower
10.1016/j.ress.2025.111390 · 2026 · External reference
Probabilistic model for fatigue damage estimation of wind turbines with hidden markov model and neural network
10.1016/j.oceaneng.2024.118663 · 2024 · External reference
Support vector regression-based fatigue damage assessment method for wind turbine nacelle chassis
10.1016/j.istruc.2021.04.093 · 2021 · External reference
Coupled aero-hydro-servo-elastic methods for floating wind turbines
10.1016/j.renene.2018.06.060 · 2019 · External reference
Multi-parameter full probabilistic modeling of long-term joint wind-wave actions using multi-source data and applications to fatigue analysis of floating offshore wind turbines
10.1016/j.oceaneng.2022.110676 · 2022 · External reference
Bayesian-optimized bidirectional long-short-term memory network for wind power forecasting with uncertainty quantification
10.1016/j.epsr.2025.112261 · 2026 · External reference
A new fusion model for enhanced ultra-short-term offshore wind power forecasting
2026 · External reference
CFD-based parametric study of venturi-shaped roof optimization for wind energy harvesting by building-integrated wind turbines in an idealized high-rise building
10.1016/j.buildenv.2025.113574 · 2025 · External reference
A probabilistic framework for assessing and enhancing the resilience of power systems to typhoon hazards
2026 · External reference
Constitutive modeling and experimental analysis of asynchronous multiaxial fatigue in 304LN stainless steel using Bayesian optimization
10.1016/j.ijfatigue.2025.109214 · 2026 · External reference
Multi-objective parameter optimization of large-scale offshore wind Turbine's tower based on data-driven model with deep learning and machine learning methods
10.1016/j.energy.2024.132257 · 2024 · External reference
Optimization design of floating offshore wind turbine mooring system based on DNN and NSGA-III
10.1016/j.oceaneng.2024.119915 · 2025 · External reference
Predicting shoreline changes using deep learning techniques with Bayesian optimisation
10.1016/j.coastaleng.2025.104856 · 2026 · External reference
Physics-informed neural network for prediction of scour depth using natural frequency of monopiles
10.1016/j.oceaneng.2025.122054 · 2025 · External reference
A deep learning model for predicting mechanical behaviors of dynamic power cable of offshore floating wind turbine
10.1016/j.marstruc.2024.103705 · 2025 · External reference
A novel hybrid strategy for damage detection of wind turbine yaw bearing
2024 · External reference
Investigation of wake characteristics of a yawed HAWT and its impacts on the inline downstream wind turbine using unsteady CFD
10.1016/j.jweia.2017.05.002 · 2017 · External reference
A new optimization approach to improve the overall performance of thick wind turbine airfoils
10.1016/j.energy.2016.09.108 · 2016 · External reference
Improving wind turbine blade based on multi-objective particle swarm optimization
10.1016/j.renene.2020.07.067 · 2020 · External reference
Optimized design of wind turbine airfoil aerodynamic performance and structural strength based on surrogate model
10.1016/j.oceaneng.2023.116279 · 2023 · External reference
Multiclass fault diagnosis in power transformers using dissolved gas analysis and grid search-optimized machine learning
10.3390/en18133535 · 2025 · External reference
Unresolved reference
External reference
An experimental comparative study of aerodynamic thrust modeling in basin testing of floating wind turbines: real-time hybrid method and thrust-scaled blade model
10.1016/j.energy.2025.138793 · 2025 · External reference
Anchor loads for shallow water mooring of a 15 MW floating wind turbine - Part I: Chain catenary moorings for single and shared anchor scenarios
2022 · External reference
Uncertainty in wind climate parameters and their influence on wind turbine fatigue loads
10.1016/j.renene.2016.01.010 · 2016 · External reference
Multidisciplinary design optimization for glass-fiber epoxy-matrix composite 5 MW horizontal-axis wind-turbine blades
10.1007/s11665-010-9596-2 · 2010 · External reference
Multi-objective structural optimization of a HAWT composite blade based on ultimate limit state analysis
10.1007/s12206-011-1018-3 · 2012 · External reference
Unresolved reference
2011 · External reference
Time domain analysis procedures for fatigue assessment of a semi-submersible wind turbine
10.1016/j.marstruc.2014.10.009 · 2015 · External reference
Fatigue prediction of wind turbine main bearing based on field measurement and three-dimensional elastic drivetrain model
10.1016/j.engfailanal.2024.108985 · 2025 · External reference
Standard practices for cycle counting in fatigue analysis
1985 · External reference
Damage evolution and failure analysis of the advanced transition segment behavior of wind turbine tower
10.1016/j.engfailanal.2023.107527 · 2023 · External reference
Mechanics applied to engineering /
1941 · External reference
Directional wind energy assessment of China based on nonparametric copula models
10.1016/j.renene.2020.10.149 · 2021 · External reference
Assessing long-term future climate change impacts on extreme low wind events for offshore wind turbines in the UK exclusive economic zone
10.1016/j.apenergy.2023.122218 · 2024 · External reference
Probabilistic inference of wave parameters and extreme wind-wave analysis for OWTs under typhoon conditions
10.1016/j.oceaneng.2026.124431 · 2026 · External reference
Long-term assessment of a floating offshore wind turbine under environmental conditions with multivariate dependence structures
10.1016/j.renene.2019.09.076 · 2020 · External reference
Multidisciplinary design optimization for glass-fiber epoxy-matrix composite 5 MW horizontal-axis wind-turbine blades
10.1007/s11665-010-9596-2 · ExternalCitation · doi-reference
Multi-objective structural optimization of a HAWT composite blade based on ultimate limit state analysis
10.1007/s12206-011-1018-3 · ExternalCitation · doi-reference
Assessing long-term future climate change impacts on extreme low wind events for offshore wind turbines in the UK exclusive economic zone
10.1016/j.apenergy.2023.122218 · ExternalCitation · doi-reference
Wind turbine control co-design using dynamic system derivative function surrogate model (DFSM) based on OpenFAST linearization
10.1016/j.apenergy.2025.126203 · ExternalCitation · doi-reference
Deep learning based short-term motion prediction of floating wind turbine under shutdown condition
10.1016/j.apor.2024.104147 · ExternalCitation · doi-reference
The surrogate model for short-term extreme response prediction based on ANN and Kriging algorithm
10.1016/j.apor.2024.104196 · ExternalCitation · doi-reference
Optimization of the mooring system of a floating wind turbine by developing a surrogate model-assisted evolutionary framework
10.1016/j.apor.2024.104373 · ExternalCitation · doi-reference
CFD-based parametric study of venturi-shaped roof optimization for wind energy harvesting by building-integrated wind turbines in an idealized high-rise building
10.1016/j.buildenv.2025.113574 · ExternalCitation · doi-reference
Predicting shoreline changes using deep learning techniques with Bayesian optimisation
10.1016/j.coastaleng.2025.104856 · ExternalCitation · doi-reference
Surrogate model based on ANN for the evaluation of the fundamental frequency of offshore wind turbines supported on jackets
10.1016/j.compstruc.2022.106917 · ExternalCitation · doi-reference
A new optimization approach to improve the overall performance of thick wind turbine airfoils
10.1016/j.energy.2016.09.108 · ExternalCitation · doi-reference
Multi-objective parameter optimization of large-scale offshore wind Turbine's tower based on data-driven model with deep learning and machine learning methods
10.1016/j.energy.2024.132257 · ExternalCitation · doi-reference
Structural modeling and optimization design of 15MW semi-submersible floating wind turbine platform based on intelligent algorithms
10.1016/j.energy.2025.137947 · ExternalCitation · doi-reference
An experimental comparative study of aerodynamic thrust modeling in basin testing of floating wind turbines: real-time hybrid method and thrust-scaled blade model
10.1016/j.energy.2025.138793 · ExternalCitation · doi-reference
Hybrid meta-optimized GNN network to optimize pitch angle and active power of wind turbines for reducing fatigue load
10.1016/j.energy.2026.140309 · ExternalCitation · doi-reference
New conceptual design and dynamic performance analysis of the stepped single-column shallow-draft floating wind turbine under mooring failure conditions
10.1016/j.energy.2026.141034 · ExternalCitation · doi-reference
Damage evolution and failure analysis of the advanced transition segment behavior of wind turbine tower
10.1016/j.engfailanal.2023.107527 · ExternalCitation · doi-reference
Fatigue prediction of wind turbine main bearing based on field measurement and three-dimensional elastic drivetrain model
10.1016/j.engfailanal.2024.108985 · ExternalCitation · doi-reference
Bayesian-optimized bidirectional long-short-term memory network for wind power forecasting with uncertainty quantification
10.1016/j.epsr.2025.112261 · ExternalCitation · doi-reference
Stress-cycle fatigue design with Kriging applied to offshore wind turbines
10.1016/j.ijfatigue.2019.04.012 · ExternalCitation · doi-reference
Probabilistic modeling for long-term fatigue reliability of wind turbines based on Markov model and subset simulation
10.1016/j.ijfatigue.2023.107685 · ExternalCitation · doi-reference
Neural network approaches for real-time fatigue life estimation by Surrogating the rainflow counting method
10.1016/j.ijfatigue.2025.108941 · ExternalCitation · doi-reference
Constitutive modeling and experimental analysis of asynchronous multiaxial fatigue in 304LN stainless steel using Bayesian optimization
10.1016/j.ijfatigue.2025.109214 · ExternalCitation · doi-reference
Support vector regression-based fatigue damage assessment method for wind turbine nacelle chassis
10.1016/j.istruc.2021.04.093 · ExternalCitation · doi-reference
Data-driven wind-induced response prediction for slender civil infrastructure: progress, challenges and opportunities
10.1016/j.istruc.2025.108650 · ExternalCitation · doi-reference
Damage identification analysis of local deformation in wind turbine tower structures based on modal parameters
10.1016/j.istruc.2025.109421 · ExternalCitation · doi-reference
Fatigue analysis of offshore steel structures: a systematic review
10.1016/j.istruc.2025.109489 · ExternalCitation · doi-reference
Research on optimization design of wind turbine steel tower foundation based on machine learning
10.1016/j.istruc.2025.109840 · ExternalCitation · doi-reference
Long-term fatigue damage assessment of a 22 MW offshore wind turbine considering climate change scenarios
10.1016/j.istruc.2025.110182 · ExternalCitation · doi-reference
Efficient fatigue damage estimation of offshore wind turbine foundation under wind-wave actions
10.1016/j.jcsr.2024.108903 · ExternalCitation · doi-reference
Investigation of wake characteristics of a yawed HAWT and its impacts on the inline downstream wind turbine using unsteady CFD
10.1016/j.jweia.2017.05.002 · ExternalCitation · doi-reference
Time domain analysis procedures for fatigue assessment of a semi-submersible wind turbine
10.1016/j.marstruc.2014.10.009 · ExternalCitation · doi-reference
A deep learning model for predicting mechanical behaviors of dynamic power cable of offshore floating wind turbine
10.1016/j.marstruc.2024.103705 · ExternalCitation · doi-reference
Gradient-based design optimization of semi-submersible floating wind turbines
10.1016/j.marstruc.2025.103951 · ExternalCitation · doi-reference
Multi-parameter full probabilistic modeling of long-term joint wind-wave actions using multi-source data and applications to fatigue analysis of floating offshore wind turbines
10.1016/j.oceaneng.2022.110676 · ExternalCitation · doi-reference
Optimized design of wind turbine airfoil aerodynamic performance and structural strength based on surrogate model
10.1016/j.oceaneng.2023.116279 · ExternalCitation · doi-reference
An efficient active learning Kriging approach for expected fatigue damage assessment applied to wind turbine structures
10.1016/j.oceaneng.2024.118034 · ExternalCitation · doi-reference
Probabilistic model for fatigue damage estimation of wind turbines with hidden markov model and neural network
10.1016/j.oceaneng.2024.118663 · ExternalCitation · doi-reference
Optimization design of floating offshore wind turbine mooring system based on DNN and NSGA-III
10.1016/j.oceaneng.2024.119915 · ExternalCitation · doi-reference
ANN-based surrogate model for the structural evaluation of jacket support structures for offshore wind turbines
10.1016/j.oceaneng.2024.119984 · ExternalCitation · doi-reference
Hydrodynamic analysis of three semi-submersible floating offshore wind turbines under wave and current conditions
10.1016/j.oceaneng.2025.121322 · ExternalCitation · doi-reference
Addressing material uncertainty in reliability analysis of floating offshore mooring through probabilistic meta-model developed with Stochastic Kriging technique
10.1016/j.oceaneng.2025.121697 · ExternalCitation · doi-reference
Physics-informed neural network for prediction of scour depth using natural frequency of monopiles
10.1016/j.oceaneng.2025.122054 · ExternalCitation · doi-reference
Aerodynamic and structural Co-optimization of offshore wind turbine blades using a novel adaptive surrogate-based optimization method
10.1016/j.oceaneng.2025.122291 · ExternalCitation · doi-reference
Hydroelastic response and fatigue life prediction of floating offshore wind turbine platforms under complex sea states
10.1016/j.oceaneng.2025.122635 · ExternalCitation · doi-reference
Probabilistic inference of wave parameters and extreme wind-wave analysis for OWTs under typhoon conditions
10.1016/j.oceaneng.2026.124431 · ExternalCitation · doi-reference
Uncertainty in wind climate parameters and their influence on wind turbine fatigue loads
10.1016/j.renene.2016.01.010 · ExternalCitation · doi-reference
Coupled aero-hydro-servo-elastic methods for floating wind turbines
10.1016/j.renene.2018.06.060 · ExternalCitation · doi-reference
Long-term assessment of a floating offshore wind turbine under environmental conditions with multivariate dependence structures
10.1016/j.renene.2019.09.076 · ExternalCitation · doi-reference
Surrogate model uncertainty in wind turbine reliability assessment
10.1016/j.renene.2019.11.101 · ExternalCitation · doi-reference
Long-term fatigue damage assessment for a floating offshore wind turbine under realistic environmental conditions
10.1016/j.renene.2020.06.043 · ExternalCitation · doi-reference
Improving wind turbine blade based on multi-objective particle swarm optimization
10.1016/j.renene.2020.07.067 · ExternalCitation · doi-reference
Directional wind energy assessment of China based on nonparametric copula models
10.1016/j.renene.2020.10.149 · ExternalCitation · doi-reference
Physics-informed neural network surrogate model for bypassing blade element momentum theory in wind turbine aerodynamic load estimation
10.1016/j.renene.2024.120122 · ExternalCitation · doi-reference
On long-term fatigue damage estimation for a floating offshore wind turbine using a surrogate model
10.1016/j.renene.2024.120238 · ExternalCitation · doi-reference
An optimization framework for mooring design of floating offshore wind turbines using a genetic algorithm based on a surrogate model
10.1016/j.renene.2025.122807 · ExternalCitation · doi-reference
Parallel active learning XGBoost for structural reliability analysis with application to an onshore wind turbine tower
10.1016/j.ress.2025.111390 · ExternalCitation · doi-reference
Multidisciplinary reliability-based design optimization of floating offshore wind turbine support structure and tuned mass-damper-inerter
10.1016/j.ress.2025.111715 · ExternalCitation · doi-reference
Multi-hazard fragility analysis of offshore wind turbine portfolios using surrogate models
10.1016/j.rser.2022.112552 · ExternalCitation · doi-reference
Gaussian process regression for fatigue reliability analysis of offshore wind turbines
10.1016/j.strusafe.2020.102020 · ExternalCitation · doi-reference
Comparison of probabilistic structural reliability methods for ultimate limit state assessment of wind turbines
10.1016/j.strusafe.2024.102502 · ExternalCitation · doi-reference
Efficient reliability analysis for offshore wind turbines: Leveraging SVM and augmented oversampling technique
10.1016/j.strusafe.2025.102597 · ExternalCitation · doi-reference
Fatigue modeling using neural networks: a comprehensive review
10.1111/ffe.13640 · ExternalCitation · doi-reference
Multiclass fault diagnosis in power transformers using dissolved gas analysis and grid search-optimized machine learning
10.3390/en18133535 · ExternalCitation · doi-reference
Multi-objective optimization design of a mooring system based on the surrogate model
10.3390/jmse12101853 · ExternalCitation · doi-reference
