Service Life Prediction of Repaired Structures Using Concrete Recasting Method: State-Of-The-Art

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dc.contributor Aalto-yliopisto fi
dc.contributor Aalto University en
dc.contributor.author Taffese, Woubishet Zewdu
dc.contributor.author Sistonen, Esko
dc.date.accessioned 2017-05-11T07:15:27Z
dc.date.available 2017-05-11T07:15:27Z
dc.date.issued 2013
dc.identifier.citation Taffese , W Z & Sistonen , E 2013 , ' Service Life Prediction of Repaired Structures Using Concrete Recasting Method: State-Of-The-Art ' Procedia Engineering , no. 57 , pp. 1138-1144 . DOI: 10.1016/j.proeng.2013.04.143 en
dc.identifier.issn 1877-7058
dc.identifier.other PURE UUID: 54ae2e9d-d389-4f7f-ac42-3d39f384a290
dc.identifier.other PURE ITEMURL: https://research.aalto.fi/en/publications/service-life-prediction-of-repaired-structures-using-concrete-recasting-method-stateoftheart(54ae2e9d-d389-4f7f-ac42-3d39f384a290).html
dc.identifier.other PURE LINK: http://dx.doi.org/10.1016/j.proeng.2013.04.143
dc.identifier.other PURE FILEURL: https://research.aalto.fi/files/11637312/1_s2.0_S187770581300876X_main.pdf
dc.identifier.uri https://aaltodoc.aalto.fi/handle/123456789/25516
dc.description.abstract The performance of repaired concrete structures continues to be a major global concern. Regardless of improvements in repairing materials and methods, several repaired concrete structures still fail prematurely, leading to costly and time consuming repairs of repairs. Studies in the field of concrete repairs showed that almost 50% of repaired concrete structures had failed in Europe and USA. Simultaneously, numerous existing concrete structures needs to be repaired as they do not meet today's safety standard. As a result, annually billions of EUR will continue to be spent in order to repair deteriorated concrete structures. The need to mitigate premature failure of repaired concrete structures has to inspire many researchers to develop service life prediction model for repaired concrete structures. However, till today, service life of repaired concrete structures is just an estimate which relies on individual's experience. Scientifically developed service life prediction model for repaired concrete structuresis highly desired for optimizing selection of repairing materials and techniques in turn diminishing economic loss due to premature repaired concrete failure. The aims of this paper is generally to review the performance of repaired concrete structures and the current status in the development of service life prediction models for repaired concrete structures specially exposed to exposure class XD (chlorides excluding seawater). Future research and development of service life prediction model for repaired concrete structures is discussed based on today's research and practice on the area. en
dc.format.extent 1138-1144
dc.format.mimetype application/pdf
dc.language.iso en en
dc.relation.ispartofseries Procedia Engineering en
dc.relation.ispartofseries issue 57 en
dc.rights openAccess en
dc.subject.other 212 Civil and construction engineering en
dc.subject.other 216 Materials engineering en
dc.subject.other 111 Mathematics en
dc.subject.other 221 Nanotechnology en
dc.subject.other 512 Business and management en
dc.title Service Life Prediction of Repaired Structures Using Concrete Recasting Method: State-Of-The-Art en
dc.type Conference article fi
dc.description.version Peer reviewed en
dc.contributor.department School services, ENG
dc.contributor.department Department of Civil and Structural Engineering en
dc.contributor.department Department of Civil Engineering en
dc.subject.keyword chloride contamination
dc.subject.keyword concrete repair s performance
dc.subject.keyword failure mode of concrete repairs
dc.subject.keyword numerical models
dc.subject.keyword repaired concrete structure
dc.subject.keyword service life prediction
dc.subject.keyword 212 Civil and construction engineering
dc.subject.keyword 216 Materials engineering
dc.subject.keyword 111 Mathematics
dc.subject.keyword 221 Nanotechnology
dc.subject.keyword 512 Business and management
dc.identifier.urn URN:NBN:fi:aalto-201705113900
dc.identifier.doi 10.1016/j.proeng.2013.04.143
dc.type.version publishedVersion


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