Corrosion surface morphology‐based methodology for fatigue assessment of offshore welded structures

Author:

Okenyi Victor1ORCID,Afazov Shukri1,Mansfield Neil1,Eder Martin Alexander2,Abrahamsen Asger Bech2,Fæster Søren2,Klingaa Christopher Gottlieb3,Siegkas Petros4,Bodaghi Mahdi1

Affiliation:

1. Department of Engineering, School of Science and Technology Nottingham Trent University Nottingham UK

2. Department of Wind Energy Technical University of Denmark Roskilde Denmark

3. Danish Technological Institute Aarhus C Denmark

4. Department of Mechanical Engineering and Materials Science and Engineering Cyprus University of Technology Limassol Cyprus

Abstract

AbstractThis work employed a novel corrosion‐based fatigue model to determine the fatigue life of offshore welded structures to enable the fatigue assessment of welds under corrosive conditions. In addition to the material's ultimate strength, endurance limit, and stress ratio (mean stress effect), the model includes a corrosion factor concept to account for the impact of corrosion pits on the fatigue performance of welded S355 steel, which is the novel contribution in this paper. X‐ray computed tomography scans of corroded S355 specimens in a salt spray chamber were characterized. Surface texture characterization was employed to obtain surface roughness, size, and aspect ratio of corrosion pits. The corrosion factor was determined based on notch and surface fatigue theories using the characterized pit size, aspect ratio, and surface roughness. Fatigue S‐N curves were then predicted for critical pits and compared against the fatigue code DNVGL‐RP‐C203 and experimental data from the literature. The novel approach combining corrosion characterization method with corrosion‐based fatigue model for the prediction of fatigue S‐N curves provided a minor deviation of only 2.8% between predicted and measured data. This approach can potentially be integrated into predictive frameworks for the remaining life assessment of offshore structures.

Publisher

Wiley

Subject

Mechanical Engineering,Mechanics of Materials,General Materials Science

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