Theory and Machine Learning Modeling for Burst Pressure Estimation of Pipeline with Multipoint Corrosion-Reference-Cited by-同舟云学术

Theory and Machine Learning Modeling for Burst Pressure Estimation of Pipeline with Multipoint Corrosion

Published:2023-08 Issue:3 Volume:14 Page:
ISSN:1949-1190
Container-title:Journal of Pipeline Systems Engineering and Practice
language:en
Short-container-title:J. Pipeline Syst. Eng. Pract.

Author:

Lu Hongfang¹^ORCID,Peng Haoyan²,Xu Zhao-Dong³,Qin Guojin⁴,Azimi Mohammadamin⁵^ORCID,Matthews John C.⁶,Cao Li⁷

Affiliation:

1. Associate Professor, China-Pakistan Belt and Road Joint Laboratory on Smart Disaster Prevention of Major Infrastructures, Southeast Univ., Nanjing 210096, China. ORCID: .

2. Ph.D. Student, China-Pakistan Belt and Road Joint Laboratory on Smart Disaster Prevention of Major Infrastructures, Southeast Univ., Nanjing 210096, China.

3. Professor, China-Pakistan Belt and Road Joint Laboratory on Smart Disaster Prevention of Major Infrastructures, Southeast Univ., Nanjing 210096, China (corresponding author).

4. Assistant Professor, School of Civil Engineering and Geomatics, Southwest Petroleum Univ., Chengdu 610500, China.

5. Senior Structural Engineer, GeoEngineers, Inc., 13220 Evening Creek Dr. S Suite 115, San Diego, CA 92128. ORCID: .

6. Professor and Director, Trenchless Technology Center, Louisiana Tech Univ., Ruston, LA 71270.

7. Engineer, Sinopec Tianjin LNG Co., Ltd., Intersection of Second St. and Xincheng East Rd., Tianjin 300450, China.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Mechanical Engineering,Civil and Structural Engineering

Link

https://ascelibrary.org/doi/pdf/10.1061/JPSEA2.PSENG-1481

Reference31 articles.

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5. Bjørnøy O. H. G. Sigurdsson and E. Cramer. 2000. “Residual strength of corroded pipelines DNV test results.” In Proc. 10th Int. Offshore and Polar Engineering Conf. Richardson TX: OnePetro.

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