Effect of interaction between corrosion defects on failure pressure of thin wall steel pipeline-Reference-Cited by-同舟云学术

Effect of interaction between corrosion defects on failure pressure of thin wall steel pipeline

Published:2016-02 Issue: Volume:138 Page:8-18
ISSN:0308-0161
Container-title:International Journal of Pressure Vessels and Piping
language:en
Short-container-title:International Journal of Pressure Vessels and Piping

Author:

Li Xin,Bai Yu,Su Chenliang,Li Mingshu

Funder

Program for New Century Excellent Talents in University

Ministry of Science and Technology of China

Publisher

Elsevier BV

Subject

Mechanical Engineering,Mechanics of Materials,General Materials Science

Reference14 articles.

1. Corroded Pipelines. DNV-RP-F101;Det Norske Veritas,2004

2. Manual for Determining the Remaining Strength of Corroded Pipelines, a Supplement to ASME B31 Code for Pressure Piping. B31G (Revision of ASME B31G-1991);American Society of Mechanical Engineers,2009

3. A Modified Criterion for Evaluating the Strength of Corroded Pipe, Final Report for Project PR 3–805 to the Pipeline Supervisory Committee of the American Gas Association;Kiefner,1989

4. Part 6: analysis of pipeline containing interacting corrosion defects;Benjamin;Exp. Tech.,2007

5. Fitness-For-Service, API 579–1/ASME FFS-1. The American Society of Mechanical Engineers, USA, 2007.

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