Building blocks towards progressive fatigue damage modeling of a whole wind turbine blade

Author:

Paepegem W Van,Hajikazemi M

Abstract

Abstract This paper presents a concise summary of the recent fatigue damage modeling research in the Mechanics of Materials and Structures (MMS) research group at Ghent University, which utilizes physics-based models and microscopic experiments to develop components for a progressive fatigue damage model of laminated composite structures. The paper discusses the evolution of ply cracking and delamination under cyclic loading and highlights distinct modeling elements for stress analysis and fatigue damage evolution characterization. It also explores the experiments required for model calibration and validation, including the use of digital image correlation to quantify damage mechanisms. Additionally, the paper discusses the use of neural networks for efficient and robust modeling of damage effects and outlines the remaining steps required to develop a comprehensive fatigue design tool. Finally, the recent developments with the BladeMesher software of the research group provide a platform to integrate this fatigue design tool for complete wind turbine blades.

Publisher

IOP Publishing

Subject

Industrial and Manufacturing Engineering

Reference22 articles.

1. Assessment of the fundamentals of failure theories for composite materials;Talreja;Composites Science and Technology,2014

2. Model to predict effects of triaxial loading on ply cracking in general symmetric laminates;McCartney;Composites Science and Technology,2000

3. Model to accurately predict out-of-plane shear stiffness reduction in general cracked laminates;Hajikazemi;Composites Science and Technology,2019

4. Matrix cracking initiation, propagation and laminate failure in multiple plies of general symmetric composite laminates;Hajikazemi;Composites Part A: Applied Science and Manufacturing,2020

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