Statistical analysis of spatial distribution of external corrosion defects in buried pipelines using a multivariate Poisson-lognormal model-Reference-Cited by-同舟云学术

Statistical analysis of spatial distribution of external corrosion defects in buried pipelines using a multivariate Poisson-lognormal model

Published:2020-05-20 Issue:6 Volume:17 Page:741-756
ISSN:1573-2479
Container-title:Structure and Infrastructure Engineering
language:en
Short-container-title:Structure and Infrastructure Engineering

Author:

Wang Xiangrong¹^ORCID,Wang Hui¹^ORCID,Tang Fujian²^ORCID,Castaneda Homero³^ORCID,Liang Robert¹

Affiliation:

1. Department of Civil and Environmental Engineering and Engineering Mechanics, The University of Dayton, Dayton, OH, USA

2. State Key Laboratory of Coastal and Offshore Engineering, School of Civil Engineering, Dalian University of Technology, Dalian, Liaoning, China

3. Department of Material Science and Engineering, National Corrosion and Materials Reliability Center, Texas A&M University, College Station, TX, USA

Funder

School of Engineering, The University of Dayton

DOT PHMSA Office of Pipeline Safety

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/10.1080/15732479.2020.1766516

Reference74 articles.

1. Neural network modelling of high pressure CO2 corrosion in pipeline steels

2. Modelling steel corrosion damage in soil environment

3. Probabilistic modelling of a corroded pressurized pipeline at inspection time

4. Stochastic modelling of corrosion damage propagation in active sites from field inspection data

5. Time-between-events control charts for an exponentiated class of distributions of the renewal process

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