Predictions of failure mode and arresting efficiency of integral buckle arrestors using FEM and machine learning methods-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Predictions of failure mode and arresting efficiency of integral buckle arrestors using FEM and machine learning methods

Published:2024-05 Issue: Volume:159 Page:108096
ISSN:1350-6307
Container-title:Engineering Failure Analysis
language:en
Short-container-title:Engineering Failure Analysis

Author:

Wang Xipeng,Wang Chuangyi^ORCID,Yuan Lin^ORCID,Xu Pu,Ding Zhi

Funder

Natural Science Foundation of Zhejiang Province

Shanxi Provincial Key Research and Development Project

Key Research and Development Program of Zhejiang Province

Natural Science Foundation of Fujian Province

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference67 articles.

1. Buckling analysis of subsea pipeline with idealized corrosion defects using homotopy analysis method;Chen;Ocean Eng.,2021

2. Collapse failure and capacity of subsea pipelines with complex corrosion defects;Chen;Eng. Fail. Anal.,2021

3. Prediction of collapse pressure of submarine pipelines in a wide range of diameter-thickness ratio;Xu;China Ocean Engineering,2022

4. Buckle propagation in submarine pipelines;Palmer;Nature,1975

5. On the propagation pressure of long cylindrical shells under external pressure;Dyau;Int. J. Mech. Sci.,1993

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