Probabilistic considerations on the effect of specimen size on the critical chloride content in reinforced concrete
► A probabilistic model demonstrates the effect of specimen size on C crit. ► Test methods: a high number of samples is required when using common dimensions. ► Service life modelling: C crit must be related to the rebar length. ► Literature scatter and high laboratory values might be explained by s...
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Veröffentlicht in: | Corrosion science 2011, Vol.53 (1), p.177-187 |
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creator | Angst, Ueli Rønnquist, Anders Elsener, Bernhard Larsen, Claus K. Vennesland, Øystein |
description | ► A probabilistic model demonstrates the effect of specimen size on
C
crit. ► Test methods: a high number of samples is required when using common dimensions. ► Service life modelling:
C
crit must be related to the rebar length. ► Literature scatter and high laboratory values might be explained by sample size.
A probabilistic model was used to predict the critical chloride content (
C
crit) for reinforcement corrosion as a function of specimen size. The specimen size is likely to be a reason for the large scatter of
C
crit values as well as for the high threshold levels often observed in laboratory setups. Regarding test methods, it is discussed that the common combination of small specimens and low numbers of parallel samples results in poor reproducibility. If experimental data is to be used for service life modelling, the geometrical dimensions of the specimens on which
C
crit was measured have to be taken into account. |
doi_str_mv | 10.1016/j.corsci.2010.09.017 |
format | Article |
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C
crit. ► Test methods: a high number of samples is required when using common dimensions. ► Service life modelling:
C
crit must be related to the rebar length. ► Literature scatter and high laboratory values might be explained by sample size.
A probabilistic model was used to predict the critical chloride content (
C
crit) for reinforcement corrosion as a function of specimen size. The specimen size is likely to be a reason for the large scatter of
C
crit values as well as for the high threshold levels often observed in laboratory setups. Regarding test methods, it is discussed that the common combination of small specimens and low numbers of parallel samples results in poor reproducibility. If experimental data is to be used for service life modelling, the geometrical dimensions of the specimens on which
C
crit was measured have to be taken into account.</description><identifier>ISSN: 0010-938X</identifier><identifier>EISSN: 1879-0496</identifier><identifier>DOI: 10.1016/j.corsci.2010.09.017</identifier><identifier>CODEN: CRRSAA</identifier><language>eng</language><publisher>Kidlington: Elsevier Ltd</publisher><subject>A. Steel reinforced concrete ; Applied sciences ; C. Pitting corrosion ; Chlorides ; Corrosion ; Corrosion environments ; Exact sciences and technology ; Mathematical models ; Metals. Metallurgy ; Modelling ; Probabilistic methods ; Probability theory ; Scatter ; Service life</subject><ispartof>Corrosion science, 2011, Vol.53 (1), p.177-187</ispartof><rights>2010 Elsevier Ltd</rights><rights>2015 INIST-CNRS</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c368t-ffb1468aea88c0bba1acda95c3c8ccc56d5f49dbe1d66c27091027ac15944aba3</citedby><cites>FETCH-LOGICAL-c368t-ffb1468aea88c0bba1acda95c3c8ccc56d5f49dbe1d66c27091027ac15944aba3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.corsci.2010.09.017$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>315,782,786,3552,4026,27930,27931,27932,46002</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=23442742$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Angst, Ueli</creatorcontrib><creatorcontrib>Rønnquist, Anders</creatorcontrib><creatorcontrib>Elsener, Bernhard</creatorcontrib><creatorcontrib>Larsen, Claus K.</creatorcontrib><creatorcontrib>Vennesland, Øystein</creatorcontrib><title>Probabilistic considerations on the effect of specimen size on the critical chloride content in reinforced concrete</title><title>Corrosion science</title><description>► A probabilistic model demonstrates the effect of specimen size on
C
crit. ► Test methods: a high number of samples is required when using common dimensions. ► Service life modelling:
C
crit must be related to the rebar length. ► Literature scatter and high laboratory values might be explained by sample size.
A probabilistic model was used to predict the critical chloride content (
C
crit) for reinforcement corrosion as a function of specimen size. The specimen size is likely to be a reason for the large scatter of
C
crit values as well as for the high threshold levels often observed in laboratory setups. Regarding test methods, it is discussed that the common combination of small specimens and low numbers of parallel samples results in poor reproducibility. If experimental data is to be used for service life modelling, the geometrical dimensions of the specimens on which
C
crit was measured have to be taken into account.</description><subject>A. Steel reinforced concrete</subject><subject>Applied sciences</subject><subject>C. Pitting corrosion</subject><subject>Chlorides</subject><subject>Corrosion</subject><subject>Corrosion environments</subject><subject>Exact sciences and technology</subject><subject>Mathematical models</subject><subject>Metals. Metallurgy</subject><subject>Modelling</subject><subject>Probabilistic methods</subject><subject>Probability theory</subject><subject>Scatter</subject><subject>Service life</subject><issn>0010-938X</issn><issn>1879-0496</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2011</creationdate><recordtype>article</recordtype><recordid>eNp9kEGLFDEQhYO44Lj6DzzkIp56TLrT6eQiyOKqsKAHF_YW0tUVtoaeZEyygvvrTTOrR09VVL33ivoYeyPFXgqp3x_2kHIB2veijYTdCzk9YztpJtsJZfVzthNt09nB3L1gL0s5CCE27Y6V7znNfqaVSiXgkGKhBbOv1DqeIq_3yDEEhMpT4OWEQEeMvNAj_l1Dpub1K4f7NeVm32Iqxsop8owUQ8qAyzaFjBVfsYvg14Kvn-olu73-9OPqS3fz7fPXq483HQza1C6EWSptPHpjQMyzlx4Wb0cYwADAqJcxKLvMKBetoZ-ElaKfPMjRKuVnP1yyd-fcU04_H7BUd6QCuK4-YnoozoyjNlrKsSnVWQk5lZIxuFOmo8-_nRRuQ-wO7ozYbdicsK4hbra3Twd8af-H7CNQ-eftB6X6SfVN9-Gsw_btL8LsWhLGxoRyA-uWRP8_9Adbz5c5</recordid><startdate>2011</startdate><enddate>2011</enddate><creator>Angst, Ueli</creator><creator>Rønnquist, Anders</creator><creator>Elsener, Bernhard</creator><creator>Larsen, Claus K.</creator><creator>Vennesland, Øystein</creator><general>Elsevier Ltd</general><general>Elsevier</general><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QQ</scope><scope>7SE</scope><scope>8BQ</scope><scope>8FD</scope><scope>F28</scope><scope>FR3</scope><scope>JG9</scope></search><sort><creationdate>2011</creationdate><title>Probabilistic considerations on the effect of specimen size on the critical chloride content in reinforced concrete</title><author>Angst, Ueli ; Rønnquist, Anders ; Elsener, Bernhard ; Larsen, Claus K. ; Vennesland, Øystein</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c368t-ffb1468aea88c0bba1acda95c3c8ccc56d5f49dbe1d66c27091027ac15944aba3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2011</creationdate><topic>A. Steel reinforced concrete</topic><topic>Applied sciences</topic><topic>C. Pitting corrosion</topic><topic>Chlorides</topic><topic>Corrosion</topic><topic>Corrosion environments</topic><topic>Exact sciences and technology</topic><topic>Mathematical models</topic><topic>Metals. Metallurgy</topic><topic>Modelling</topic><topic>Probabilistic methods</topic><topic>Probability theory</topic><topic>Scatter</topic><topic>Service life</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Angst, Ueli</creatorcontrib><creatorcontrib>Rønnquist, Anders</creatorcontrib><creatorcontrib>Elsener, Bernhard</creatorcontrib><creatorcontrib>Larsen, Claus K.</creatorcontrib><creatorcontrib>Vennesland, Øystein</creatorcontrib><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Ceramic Abstracts</collection><collection>Corrosion Abstracts</collection><collection>METADEX</collection><collection>Technology Research Database</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><collection>Materials Research Database</collection><jtitle>Corrosion science</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Angst, Ueli</au><au>Rønnquist, Anders</au><au>Elsener, Bernhard</au><au>Larsen, Claus K.</au><au>Vennesland, Øystein</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Probabilistic considerations on the effect of specimen size on the critical chloride content in reinforced concrete</atitle><jtitle>Corrosion science</jtitle><date>2011</date><risdate>2011</risdate><volume>53</volume><issue>1</issue><spage>177</spage><epage>187</epage><pages>177-187</pages><issn>0010-938X</issn><eissn>1879-0496</eissn><coden>CRRSAA</coden><abstract>► A probabilistic model demonstrates the effect of specimen size on
C
crit. ► Test methods: a high number of samples is required when using common dimensions. ► Service life modelling:
C
crit must be related to the rebar length. ► Literature scatter and high laboratory values might be explained by sample size.
A probabilistic model was used to predict the critical chloride content (
C
crit) for reinforcement corrosion as a function of specimen size. The specimen size is likely to be a reason for the large scatter of
C
crit values as well as for the high threshold levels often observed in laboratory setups. Regarding test methods, it is discussed that the common combination of small specimens and low numbers of parallel samples results in poor reproducibility. If experimental data is to be used for service life modelling, the geometrical dimensions of the specimens on which
C
crit was measured have to be taken into account.</abstract><cop>Kidlington</cop><pub>Elsevier Ltd</pub><doi>10.1016/j.corsci.2010.09.017</doi><tpages>11</tpages></addata></record> |
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subjects | A. Steel reinforced concrete Applied sciences C. Pitting corrosion Chlorides Corrosion Corrosion environments Exact sciences and technology Mathematical models Metals. Metallurgy Modelling Probabilistic methods Probability theory Scatter Service life |
title | Probabilistic considerations on the effect of specimen size on the critical chloride content in reinforced concrete |
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