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/ http://umpir.ump.edu.my/id/eprint/9034/ http://umpir.ump.edu.my/id/eprint/9034/ http://umpir.ump.edu.my/id/eprint/9034/1/fkasa-2015-lim%20karsing-Underground%20Corrosion.pdf

id	oai:umpir.ump.edu.my:9034
recordtype	eprints
spelling	oai:umpir.ump.edu.my: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
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
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/ http://umpir.ump.edu.my/id/eprint/9034/ http://umpir.ump.edu.my/id/eprint/9034/ http://umpir.ump.edu.my/id/eprint/9034/1/fkasa-2015-lim%20karsing-Underground%20Corrosion.pdf
first_indexed	2018-09-07T01:12:00Z
last_indexed	2018-09-07T01:12:00Z
_version_	1610909190006505472

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

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