An empirical model for bending capacity of defected pipe combined with axial load
Author:
Funder
NAFOSTED
Publisher
Elsevier BV
Subject
Mechanical Engineering,Mechanics of Materials,General Materials Science
Reference48 articles.
1. Prediction of pitting rates in ferrous metals from soil parameters;Rossum;J. Am. Water Works Assoc.,1969
2. Evaluation of the pitting corrosion of carbon steels and other ferrous metals in soil systems;Mughabghab;Waste Manag.,1989
3. Estimating time to failure of cast-iron water mains;Rajani,2007
4. Predictive model for pitting corrosion in buried oil and gas pipelines;Velázquez;Corrosion,2009
5. The role of soil in the external corrosion of cast iron water mains in Toronto, Canada;Doyle;Can. Geotech. J.,2003
Cited by 15 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. Optimization of Neural Network architecture and derivation of closed-form equation to predict ultimate load of functionally graded material plate;Advances in Mechanical Engineering;2023-05
2. Bending Deformation and Ultimate Moment Calculation of Screen Pipes in Offshore Sand Control Completion;Journal of Marine Science and Engineering;2023-03-31
3. Practical Machine Learning Application for Predicting Axial Capacity of Composite Concrete-Filled Steel Tube Columns Considering Effect of Cross-Sectional Shapes;International Journal of Steel Structures;2022-11-19
4. Surface Roughness Prediction of AISI 304 Steel in Nanofluid Assisted Turning Using Machine Learning Technique;Key Engineering Materials;2022-10-17
5. A Feature Selection–Based Intelligent Framework for Predicting Maximum Depth of Corroded Pipeline Defects;Journal of Performance of Constructed Facilities;2022-10
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