YaBeSH Engineering and Technology Library

    • Journals
    • PaperQuest
    • YSE Standards
    • YaBeSH
    • Login
    View Item 
    •   YE&T Library
    • ASCE
    • Journal of Materials in Civil Engineering
    • View Item
    •   YE&T Library
    • ASCE
    • Journal of Materials in Civil Engineering
    • View Item
    • All Fields
    • Source Title
    • Year
    • Publisher
    • Title
    • Subject
    • Author
    • DOI
    • ISBN
    Advanced Search
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Archive

    Prediction of Service Life and Evaluation of Probabilistic Life-Cycle Cost for Surface-Repaired Carbonated Concrete

    Source: Journal of Materials in Civil Engineering:;2020:;Volume ( 032 ):;issue: 010
    Author:
    Hyungmin Lee
    ,
    Han-Seung Lee
    ,
    Prannoy Suraneni
    ,
    Jitendra Kumar Singh
    ,
    Soumen Mandal
    DOI: 10.1061/(ASCE)MT.1943-5533.0003390
    Publisher: ASCE
    Abstract: Concrete structures are economical and typically durable when exposed to a variety of environmental conditions. However, carbonation results in a reduction of the durability of reinforced concrete members because it damages the passive film surrounding the reinforcement, which accelerates corrosion processes and may ultimately lead to premature failure of the members. Predicting service life is complex because it depends strongly on changes in materials and environmental conditions. Existing carbonation models predict the service life based on deterministic theories. In this study, deterministic and probabilistic methods are applied to study concrete carbonation in the presence of repair materials using the maintenance periods and repair cost according to the coefficient of variation (COV) of the carbonation depth of each repair material. Water-based paint, organic alkaline inhibitor, inhibiting surface coating, and corrosion-inhibiting mortar (IM) were used as repair materials. An accelerated carbonation experiment using 20% CO2 was performed for 5 days, and then the repair materials were applied on the concrete surface. Then the samples were put back in the carbonation chamber and carbonation depth was measured after 7, 14, and 28 days. Based on the COV value, the carbonation depth and maintenance periods were predicted. These were used as parameters for the probabilistic life-cycle cost (LCC) model. Results showed that carbonation inhibition was best when the repair was done using IM. Cost results obtained from deterministic and probabilistic models were compared. When the probabilistic model is applied, the repair cost is evaluated as a curve, unlike with the deterministic model. The probabilistic model reduces the maximum cost by 50% compared to the deterministic model. As the COV decreased (indicating better quality concrete), the probabilistic model results approached those of the deterministic model evaluation.
    • Download: (1.945Mb)
    • Show Full MetaData Hide Full MetaData
    • Get RIS
    • Item Order
    • Go To Publisher
    • Price: 5000 Rial
    • Statistics

      Prediction of Service Life and Evaluation of Probabilistic Life-Cycle Cost for Surface-Repaired Carbonated Concrete

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/4267327
    Collections
    • Journal of Materials in Civil Engineering

    Show full item record

    contributor authorHyungmin Lee
    contributor authorHan-Seung Lee
    contributor authorPrannoy Suraneni
    contributor authorJitendra Kumar Singh
    contributor authorSoumen Mandal
    date accessioned2022-01-30T20:54:26Z
    date available2022-01-30T20:54:26Z
    date issued10/1/2020 12:00:00 AM
    identifier other%28ASCE%29MT.1943-5533.0003390.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4267327
    description abstractConcrete structures are economical and typically durable when exposed to a variety of environmental conditions. However, carbonation results in a reduction of the durability of reinforced concrete members because it damages the passive film surrounding the reinforcement, which accelerates corrosion processes and may ultimately lead to premature failure of the members. Predicting service life is complex because it depends strongly on changes in materials and environmental conditions. Existing carbonation models predict the service life based on deterministic theories. In this study, deterministic and probabilistic methods are applied to study concrete carbonation in the presence of repair materials using the maintenance periods and repair cost according to the coefficient of variation (COV) of the carbonation depth of each repair material. Water-based paint, organic alkaline inhibitor, inhibiting surface coating, and corrosion-inhibiting mortar (IM) were used as repair materials. An accelerated carbonation experiment using 20% CO2 was performed for 5 days, and then the repair materials were applied on the concrete surface. Then the samples were put back in the carbonation chamber and carbonation depth was measured after 7, 14, and 28 days. Based on the COV value, the carbonation depth and maintenance periods were predicted. These were used as parameters for the probabilistic life-cycle cost (LCC) model. Results showed that carbonation inhibition was best when the repair was done using IM. Cost results obtained from deterministic and probabilistic models were compared. When the probabilistic model is applied, the repair cost is evaluated as a curve, unlike with the deterministic model. The probabilistic model reduces the maximum cost by 50% compared to the deterministic model. As the COV decreased (indicating better quality concrete), the probabilistic model results approached those of the deterministic model evaluation.
    publisherASCE
    titlePrediction of Service Life and Evaluation of Probabilistic Life-Cycle Cost for Surface-Repaired Carbonated Concrete
    typeJournal Paper
    journal volume32
    journal issue10
    journal titleJournal of Materials in Civil Engineering
    identifier doi10.1061/(ASCE)MT.1943-5533.0003390
    page9
    treeJournal of Materials in Civil Engineering:;2020:;Volume ( 032 ):;issue: 010
    contenttypeFulltext
    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian
     
    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian