Experimental and analytical study of temperatures developed by the heat of hydration of high-strength self-compacting mass concrete

IF 6.5 2区 工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY Case Studies in Construction Materials Pub Date : 2024-12-09 DOI:10.1016/j.cscm.2024.e04098
Alexandre Almeida Del Savio , Darwin La Torre Esquivel , Enrique Pasquel Carbajal , Flávio de Andrade Silva
{"title":"Experimental and analytical study of temperatures developed by the heat of hydration of high-strength self-compacting mass concrete","authors":"Alexandre Almeida Del Savio ,&nbsp;Darwin La Torre Esquivel ,&nbsp;Enrique Pasquel Carbajal ,&nbsp;Flávio de Andrade Silva","doi":"10.1016/j.cscm.2024.e04098","DOIUrl":null,"url":null,"abstract":"<div><div>This study addresses the gap in research on large-scale high-performance concrete (HPC) structures that exhibit self-compacting characteristics and high compressive strength through a detailed case study. It examines the temperature evolution due to hydration heat in a significant HPC structure consisting of an L-shaped reaction slab and wall arrangement. It is heavily reinforced and constructed for a structural laboratory in Lima, Peru. The investigation involved comprehensive instrumentation of the laboratory's reaction slab and wall to assess the impact of boundary conditions on temperature dynamics. Utilizing fifteen thermocouples, temperatures were monitored at various depths, and their progression over time was analyzed. Findings revealed that the peak temperatures reached 78.3°C in the slab and 74.6°C in the wall. Notably, the timing of formwork removal played a critical role in the thermal behavior of the reaction wall, significantly affecting its heating and cooling rates compared to the reaction slab. Despite these variations, the maximum established temperature gradients were not surpassed. Furthermore, the study critically evaluates the ACI method for predicting peak temperatures, identifying an average prediction error of 11.25 % against experimental outcomes. These insights contribute valuable data on the thermal performance of HPC in substantial structural elements, with broader implications for design and construction practices.</div></div>","PeriodicalId":9641,"journal":{"name":"Case Studies in Construction Materials","volume":"22 ","pages":"Article e04098"},"PeriodicalIF":6.5000,"publicationDate":"2024-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Case Studies in Construction Materials","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2214509524012506","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CONSTRUCTION & BUILDING TECHNOLOGY","Score":null,"Total":0}
引用次数: 0

Abstract

This study addresses the gap in research on large-scale high-performance concrete (HPC) structures that exhibit self-compacting characteristics and high compressive strength through a detailed case study. It examines the temperature evolution due to hydration heat in a significant HPC structure consisting of an L-shaped reaction slab and wall arrangement. It is heavily reinforced and constructed for a structural laboratory in Lima, Peru. The investigation involved comprehensive instrumentation of the laboratory's reaction slab and wall to assess the impact of boundary conditions on temperature dynamics. Utilizing fifteen thermocouples, temperatures were monitored at various depths, and their progression over time was analyzed. Findings revealed that the peak temperatures reached 78.3°C in the slab and 74.6°C in the wall. Notably, the timing of formwork removal played a critical role in the thermal behavior of the reaction wall, significantly affecting its heating and cooling rates compared to the reaction slab. Despite these variations, the maximum established temperature gradients were not surpassed. Furthermore, the study critically evaluates the ACI method for predicting peak temperatures, identifying an average prediction error of 11.25 % against experimental outcomes. These insights contribute valuable data on the thermal performance of HPC in substantial structural elements, with broader implications for design and construction practices.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
求助全文
约1分钟内获得全文 去求助
来源期刊
CiteScore
7.60
自引率
19.40%
发文量
842
审稿时长
63 days
期刊介绍: Case Studies in Construction Materials provides a forum for the rapid publication of short, structured Case Studies on construction materials. In addition, the journal also publishes related Short Communications, Full length research article and Comprehensive review papers (by invitation). The journal will provide an essential compendium of case studies for practicing engineers, designers, researchers and other practitioners who are interested in all aspects construction materials. The journal will publish new and novel case studies, but will also provide a forum for the publication of high quality descriptions of classic construction material problems and solutions.
期刊最新文献
Investigating the rheological properties and microstructural analysis of Nano-expanded Perlite modified asphalt binder Prediction of compressive strength and characteristics analysis of semi-flexible pavement desert sand grouting material based upon hybrid-BP neural network Study on the workability, strength, durability and environmental performance of alkali-activated electrolytic manganese slag-fly ash-slag grouting materials Energy consumption and carbon emissions of mixing plant in asphalt pavement construction with a case study in China and reduction measures Engineering properties and life cycle assessment of a rapidly clayey soil stabilizer utilizing alkali-activated GFRP waste powder and slag
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1