董磊磊

个人信息Personal Information

副教授

硕士生导师

性别:男

毕业院校:大连理工大学

学位:博士

所在单位:船舶工程学院

学科:船舶与海洋结构物设计制造

办公地点:2号综合实验楼503室

电子邮箱:leilei.dong@dlut.edu.cn

扫描关注

论文成果

当前位置: 中文主页 >> 科学研究 >> 论文成果

Computationally efficient approaches to fatigue analysis of deepwater risers

点击次数:

论文类型:期刊论文

发表时间:2013-01-01

发表刊物:Journal of Shanghai Jiaotong University (Science)

收录刊物:EI、Scopus

卷号:18

期号:4

页面范围:493-499

ISSN号:10071172

摘要:Riser long-term fatigue performance is an important design consideration. Although extensive application of irregular sea analysis in time domain with the rainflow counting technique for post-processing is regarded as the most accurate of the approaches for fatigue analysis, it does suffer from some limitations, such as the computational effort. For this reason, two computationally efficient approaches are employed to perform the fatigue analysis of a deepwater top-tensioned riser, based on the Longuet-Higgins distribution and time domain scaling respectively. With Longuet-Higgins distribution irregular wave sea states are expanded into their individual wave bins. These regular wave simulations are of short duration and consequently run quickly. Using the time domain scaling technique, the number of irregular wave runs can be performed for a comparatively small number of load cases and hence reduces the calculation time. The results showed a reasonable accuracy and significant efficiency for both approaches, compared with those from the equivalent rainflow analysis. With much less computational effort and disk storage requirement, the approaches outlined in this paper can therefore be used for the fatigue assessment of deepwater risers in industry practice. © 2013 Shanghai Jiaotong University and Springer-Verlag Berlin Heidelberg.