Strain response analysis of adhesively bonded extended composite wind turbine blade suffering unsteady aerodynamic loads-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Strain response analysis of adhesively bonded extended composite wind turbine blade suffering unsteady aerodynamic loads

Published:2018-03 Issue: Volume:85 Page:36-49
ISSN:1350-6307
Container-title:Engineering Failure Analysis
language:en
Short-container-title:Engineering Failure Analysis

Author:

Wu Guangxing,Qin Zhiwen,Zhang Lei,Yang Ke

Funder

National Natural Science Fund Youth Foundation of China

Chinese Academy of Sciences

Publisher

Elsevier BV

Subject

General Engineering,General Materials Science

Reference23 articles.

1. Wind Energy Handbook;Burton,2001

2. Fatigue of composites for wind turbines;Kensche;Int. J. Fatigue,2006

3. Failure analysis of composite pin loaded joints;Whitworth;Compos. Struct.,2003

4. Progressive damage analysis of multi-bolt composite joints with variable bolt–hole clearances;McCarthy;Compos. Part B,2005

5. Failure mode and strength of uni-directional composite single lap bonded joints with different bonding methods;Kim;Compos. Struct.,2006

Cited by 26 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. Research on vibration fatigue behavior of blade structures based on infrared thermography;Infrared Physics & Technology;2024-06

2. CCZM‐based fatigue analysis and reliability assessment for wind turbine blade adhesive joints considering parameter uncertainties;Quality and Reliability Engineering International;2024-05-19

3. A Numerical Method for the Dynamics Analysis of Blade Fracture Faults in Wind Turbines Using Geometrically Exact Beam Theory and Its Validation;Energies;2024-02-09

4. Field load testing of wind turbines based on the relational model of strain vs load;Renewable Energy;2024-02

5. Digital Twin of Wind Turbine Surface Damage Detection Based on Deep Learning-Aided Drone Inspection;2024

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3