Multi-objective maintenance strategy for in-service corroding pipelines using genetic algorithms-Reference-Cited by-同舟云学术

Multi-objective maintenance strategy for in-service corroding pipelines using genetic algorithms

Published:2018-04-05 Issue:11 Volume:14 Page:1561-1571
ISSN:1573-2479
Container-title:Structure and Infrastructure Engineering
language:en
Short-container-title:Structure and Infrastructure Engineering

Author:

Gong Changqing¹,Zhou Wenxing¹

Affiliation:

1. Department of Civil & Environmental Engineering, The University of Western Ontario, London, Canada

Funder

Natural Sciences and Engineering Research Council of Canada

Publisher

Informa UK Limited

Subject

Mechanical Engineering,Ocean Engineering,Geotechnical Engineering and Engineering Geology,Safety, Risk, Reliability and Quality,Building and Construction,Civil and Structural Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/15732479.2018.1459744

Reference33 articles.

1. Determination of the Corrosion Rate of a MIC Influenced Pipeline Using Four Consecutive Pig Runs

2. Hierarchical Bayesian Corrosion Growth Model Based on In-Line Inspection Data

3. Multi-objective optimization of maintenance programs in nuclear power plants using Genetic Algorithm and Sensitivity Index decision making

4. Probability distribution of pitting corrosion depth and rate in underground pipelines: A Monte Carlo study

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