Application of an active learning method for cumulative fatigue damage assessment of floating wind turbine mooring lines-Reference-Cited by-同舟云学术

Application of an active learning method for cumulative fatigue damage assessment of floating wind turbine mooring lines

Published:2024-06 Issue: Volume:22 Page:102122
ISSN:2590-1230
Container-title:Results in Engineering
language:en
Short-container-title:Results in Engineering

Author:

Ren Chao^ORCID,Xing Yihan,Patel Karan Sandipkumar

Publisher

Elsevier BV

Reference50 articles.

1. Evaluation of wind-induced turbulence around offshore platforms in different wind speeds and directions, along with safety assessment of helicopter operation and helideck's air-gap optimization;Reza Karimi;Results Eng.,2024

2. Comparative study of load simulation approaches used for the dynamic analysis on an offshore wind turbine jacket with different modeling techniques;Ren;Eng. Struct.,2021

3. Investigation of offshore wind characteristics for the northwest of Türkiye region by using multi-criteria decision-making method (MOORA);Başaran;Results Eng.,2022

4. Technology assessment of offshore wind turbines: floating platforms–validated by case study;Alkhalidi;Results Eng.,2023

5. Bearings faults and limits in wind turbine generators;Manuel Arias Velásquez;Results Eng.,2024

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A scalable adaptive sampling approach for surrogate modeling of rigid pavements using machine learning;Results in Engineering;2024-09

2. Application of a data-driven approach for maximum fatigue damage prediction of an unbonded flexible riser;Ocean Engineering;2024-08

3. Identification and Localization of Wind Turbine Blade Faults Using Deep Learning;Applied Sciences;2024-07-19