Predicting the Burst Pressure of High-Strength Carbon Steel Pipe with Gouge Flaws Using Artificial Neural Network-Reference-Cited by-同舟云学术

Predicting the Burst Pressure of High-Strength Carbon Steel Pipe with Gouge Flaws Using Artificial Neural Network

Published:2020-11 Issue:4 Volume:11 Page:04020034
ISSN:1949-1190
Container-title:Journal of Pipeline Systems Engineering and Practice
language:en
Short-container-title:J. Pipeline Syst. Eng. Pract.

Author:

Gholami Hojjat¹^ORCID,Shahrooi Shahram²,Shishesaz Mohammad³

Affiliation:

1. Ph.D. Student, Dept. of Mechanical Engineering, Ahvaz Branch, Islamic Azad Univ., Ahvaz, Iran. ORCID: .

2. Assistant Professor, Dept. of Mechanical Engineering, Ahvaz Branch, Islamic Azad Univ., Ahvaz, Iran (corresponding author).

3. Professor, Dept. of Mechanical Engineering, Shahid Chamran Univ. of Ahvaz, Ahvaz, Iran.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Mechanical Engineering,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29PS.1949-1204.0000478

Reference24 articles.

1. Chauhan V. and J. Crossley. 2009. “Corrosion assessment guidance for high strength steels (phase 1).” Accessed June 2 2020. https://primis.phmsa.dot.gov/matrix/FilGet.rdm?fil=4877.

2. Development of limit load solutions for corroded gas pipelines

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