Numerical simulation of autogenous shrinkage in high-performance cement paste based on a multi-component hydration model
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Lim, Seungmin | - |
dc.contributor.author | Lee, Hanseung | - |
dc.contributor.author | Wang, Xiaoyong | - |
dc.date.accessioned | 2021-06-23T18:40:38Z | - |
dc.date.available | 2021-06-23T18:40:38Z | - |
dc.date.created | 2021-01-22 | - |
dc.date.issued | 2008-07 | - |
dc.identifier.issn | 1013-9826 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/43065 | - |
dc.description.abstract | Autogenous shrinkage is the term for the bulk deformation of a closed, isothermal, cement-based material system not subjected to external forces. It is associated with the internal volume reduction of cement/water mixture in the course of the hydration process. However, addition of blended components to cement, especially such as fly ash or silica fume, for the high-performance concrete will lead to a densification of the microstructure. The autogenous shrinkage deformation will increase and the following autogenous shrinkage crack will do harm to durability of concrete structure. In this paper, numerical simulation is suggested to predict autogenous shrinkage of high performance cement paste. The simulation is originated from a multi-component hydration model. The numerical program considers the influence of water to cement ratio, curing temperature, particle size distribution, cement mineral components on hydration process and autogenous shrinkage. The prediction result agrees well with experiment result. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | Trans Tech Publications Ltd | - |
dc.title | Numerical simulation of autogenous shrinkage in high-performance cement paste based on a multi-component hydration model | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Lee, Hanseung | - |
dc.identifier.doi | 10.4028/www.scientific.net/KEM.385-387.629 | - |
dc.identifier.scopusid | 2-s2.0-54149085751 | - |
dc.identifier.bibliographicCitation | Key Engineering Materials, v.385, no.1, pp.629 - 632 | - |
dc.relation.isPartOf | Key Engineering Materials | - |
dc.citation.title | Key Engineering Materials | - |
dc.citation.volume | 385 | - |
dc.citation.number | 1 | - |
dc.citation.startPage | 629 | - |
dc.citation.endPage | 632 | - |
dc.type.rims | ART | - |
dc.type.docType | Conference Paper | - |
dc.description.journalClass | 3 | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | other | - |
dc.subject.keywordPlus | Cements | - |
dc.subject.keywordPlus | Computer simulation | - |
dc.subject.keywordPlus | Deformation | - |
dc.subject.keywordPlus | Fly ash | - |
dc.subject.keywordPlus | High performance concrete | - |
dc.subject.keywordPlus | Hydration | - |
dc.subject.keywordPlus | Numerical models | - |
dc.subject.keywordPlus | Particle size | - |
dc.subject.keywordPlus | Particle size analysis | - |
dc.subject.keywordPlus | Silica fume | - |
dc.subject.keywordPlus | Autogenous shrinkage | - |
dc.subject.keywordPlus | Cement based material | - |
dc.subject.keywordPlus | Curing temperature | - |
dc.subject.keywordPlus | Durability of concrete structure | - |
dc.subject.keywordPlus | High performance cements | - |
dc.subject.keywordPlus | Hydration models | - |
dc.subject.keywordPlus | Influence of water | - |
dc.subject.keywordPlus | Numerical programs | - |
dc.subject.keywordPlus | Shrinkage | - |
dc.subject.keywordAuthor | Autogenous shrinkage | - |
dc.subject.keywordAuthor | High-performance cement paste | - |
dc.subject.keywordAuthor | Multi-components hydration model | - |
dc.subject.keywordAuthor | Numerical simulation | - |
dc.identifier.url | https://www.scientific.net/KEM.385-387.629 | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
55 Hanyangdeahak-ro, Sangnok-gu, Ansan, Gyeonggi-do, 15588, Korea+82-31-400-4269 sweetbrain@hanyang.ac.kr
COPYRIGHT © 2021 HANYANG UNIVERSITY. ALL RIGHTS RESERVED.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.