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Underground Corrosion Model of Steel Pipelines Using In Situ Parameters of Soil

A simple yet practical model to estimate the time dependence of metal loss (ML) in underground pipelines has been developed considering the in situ soil parameters. These parameters are soil resistivity, pH, moisture content, chloride content, and salinity. The time dependence of the ML was modeled...

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Main Authors: Lim, Kar Sing, Siti Nor Fariza, Mior Mohd Tahir, Nordin, Yahaya, Norhazilan, Md Noor, Azlan, Abdul Rahman
Format: Article
Language:English
Published: ASME 2015
Subjects:
TA Engineering (General). Civil engineering (General)
Online Access:http://umpir.ump.edu.my/id/eprint/9034/1/fkasa-2015-lim%20karsing-Underground%20Corrosion.pdf
http://umpir.ump.edu.my/id/eprint/9034/
http://dx.doi.org/10.1115/1.4028424
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spelling my.ump.umpir.90342018-04-23T06:24:45Z http://umpir.ump.edu.my/id/eprint/9034/ Underground Corrosion Model of Steel Pipelines Using In Situ Parameters of Soil Lim, Kar Sing Siti Nor Fariza, Mior Mohd Tahir Nordin, Yahaya Norhazilan, Md Noor Azlan, Abdul Rahman TA Engineering (General). Civil engineering (General) A simple yet practical model to estimate the time dependence of metal loss (ML) in underground pipelines has been developed considering the in situ soil parameters. These parameters are soil resistivity, pH, moisture content, chloride content, and salinity. The time dependence of the ML was modeled as Pmax ¼ ktn, where t is the time exposure, k is ML constant, and n is the corrosion growth pattern. The results of ML and in situ parameters were analyzed using statistical methods such as data screening, linear correlation analysis, principal component analysis, and multiple linear regressions. The best model revealed that k is principally influenced by ressistivity, and n appears to be correlated with chloride content. Model optimization was carried out by introducing several observation criteria, namely, water access, soil color, and soil texture. The addition of these factors has improved the initial accuracy of model to an R2 score of 0.960. As a conclusion, the developed model can provide immediate assessment of corrosion growth experienced by underground structures. ASME 2015 Article PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/9034/1/fkasa-2015-lim%20karsing-Underground%20Corrosion.pdf Lim, Kar Sing and Siti Nor Fariza, Mior Mohd Tahir and Nordin, Yahaya and Norhazilan, Md Noor and Azlan, Abdul Rahman (2015) Underground Corrosion Model of Steel Pipelines Using In Situ Parameters of Soil. Journal of Pressure Vessel Technology, 137 (5). pp. 1-6. ISSN 0094-9930 (print); 1528-8978 (online) http://dx.doi.org/10.1115/1.4028424 DOI: 10.1115/1.4028424
institution Universiti Malaysia Pahang
building UMP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang
content_source UMP Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
topic TA Engineering (General). Civil engineering (General)
spellingShingle TA Engineering (General). Civil engineering (General)
Lim, Kar Sing
Siti Nor Fariza, Mior Mohd Tahir
Nordin, Yahaya
Norhazilan, Md Noor
Azlan, Abdul Rahman
Underground Corrosion Model of Steel Pipelines Using In Situ Parameters of Soil
description A simple yet practical model to estimate the time dependence of metal loss (ML) in underground pipelines has been developed considering the in situ soil parameters. These parameters are soil resistivity, pH, moisture content, chloride content, and salinity. The time dependence of the ML was modeled as Pmax ¼ ktn, where t is the time exposure, k is ML constant, and n is the corrosion growth pattern. The results of ML and in situ parameters were analyzed using statistical methods such as data screening, linear correlation analysis, principal component analysis, and multiple linear regressions. The best model revealed that k is principally influenced by ressistivity, and n appears to be correlated with chloride content. Model optimization was carried out by introducing several observation criteria, namely, water access, soil color, and soil texture. The addition of these factors has improved the initial accuracy of model to an R2 score of 0.960. As a conclusion, the developed model can provide immediate assessment of corrosion growth experienced by underground structures.
format Article
author Lim, Kar Sing
Siti Nor Fariza, Mior Mohd Tahir
Nordin, Yahaya
Norhazilan, Md Noor
Azlan, Abdul Rahman
author_facet Lim, Kar Sing
Siti Nor Fariza, Mior Mohd Tahir
Nordin, Yahaya
Norhazilan, Md Noor
Azlan, Abdul Rahman
author_sort Lim, Kar Sing
title Underground Corrosion Model of Steel Pipelines Using In Situ Parameters of Soil
title_short Underground Corrosion Model of Steel Pipelines Using In Situ Parameters of Soil
title_full Underground Corrosion Model of Steel Pipelines Using In Situ Parameters of Soil
title_fullStr Underground Corrosion Model of Steel Pipelines Using In Situ Parameters of Soil
title_full_unstemmed Underground Corrosion Model of Steel Pipelines Using In Situ Parameters of Soil
title_sort underground corrosion model of steel pipelines using in situ parameters of soil
publisher ASME
publishDate 2015
url http://umpir.ump.edu.my/id/eprint/9034/1/fkasa-2015-lim%20karsing-Underground%20Corrosion.pdf
http://umpir.ump.edu.my/id/eprint/9034/
http://dx.doi.org/10.1115/1.4028424
_version_ 1643666019967827968
score 13.211869

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