利用响应面法(RSM)优化和预测含再生骨料和稻壳灰混凝土的抗压性能

ce/papers Pub Date : 2023-12-06 DOI:10.1002/cepa.2872
Wenzhuo Ma, Yutong Wang, Liang Huang, Libo Yan, Bohumil Kasal
{"title":"利用响应面法(RSM)优化和预测含再生骨料和稻壳灰混凝土的抗压性能","authors":"Wenzhuo Ma,&nbsp;Yutong Wang,&nbsp;Liang Huang,&nbsp;Libo Yan,&nbsp;Bohumil Kasal","doi":"10.1002/cepa.2872","DOIUrl":null,"url":null,"abstract":"<div>\n \n <p>Rice husk ash (RHA), an agricultural by-product, has been added as supplementary cementitious material (SCM) in concrete mixture to improve the compressive properties of recycled aggregate concrete (RAC) in recent years. This study aimed to optimise the mixture design of RAC considering two variables: the replacement ratio (wt.%) of recycled aggregate (RA) to natural aggregate (NA) with three levels (0%, 50% and 100%) and the replacement ratio (wt.%) of RHA to cement with three levels (0%, 10% and 20%). Compression test was implemented at concrete age of 28 days based on the full factorial experiment. By means of response surface methodology (RSM), the optimised RA replacement ratio and RHA replacement ratio can be calculated with respect to the compressive strength and E-modulus at 28 days, and vice versa the compressive strength and E-modulus at 28 days of RAC containing RHA can also be predicted. According to response surface modelling, the compressive strength reaches the maximum value when the RA replacement ratio is 0% and the RHA replacement ratio is 7%, and the E-modulus would reach the maximum when the RA replacement ratio is 17% and the RHA replacement ratio is 7%. The determination coefficient (R<sup>2</sup>) and adjusted coefficient (R<sup>2</sup><sub>adj</sub>) for the compressive strength model are 0.9632 and 0.9544 respectively, and for the E-modulus model are 0.9319 and 0.9157 respectively, showing that the models developed by RSM are relatively well correlated with the experimental results.</p>\n </div>","PeriodicalId":100223,"journal":{"name":"ce/papers","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2023-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/cepa.2872","citationCount":"0","resultStr":"{\"title\":\"Optimisation and prediction of compressive properties for concrete containing recycled aggregates and rice husk ash using response surface methodology (RSM)\",\"authors\":\"Wenzhuo Ma,&nbsp;Yutong Wang,&nbsp;Liang Huang,&nbsp;Libo Yan,&nbsp;Bohumil Kasal\",\"doi\":\"10.1002/cepa.2872\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n \\n <p>Rice husk ash (RHA), an agricultural by-product, has been added as supplementary cementitious material (SCM) in concrete mixture to improve the compressive properties of recycled aggregate concrete (RAC) in recent years. This study aimed to optimise the mixture design of RAC considering two variables: the replacement ratio (wt.%) of recycled aggregate (RA) to natural aggregate (NA) with three levels (0%, 50% and 100%) and the replacement ratio (wt.%) of RHA to cement with three levels (0%, 10% and 20%). Compression test was implemented at concrete age of 28 days based on the full factorial experiment. By means of response surface methodology (RSM), the optimised RA replacement ratio and RHA replacement ratio can be calculated with respect to the compressive strength and E-modulus at 28 days, and vice versa the compressive strength and E-modulus at 28 days of RAC containing RHA can also be predicted. According to response surface modelling, the compressive strength reaches the maximum value when the RA replacement ratio is 0% and the RHA replacement ratio is 7%, and the E-modulus would reach the maximum when the RA replacement ratio is 17% and the RHA replacement ratio is 7%. The determination coefficient (R<sup>2</sup>) and adjusted coefficient (R<sup>2</sup><sub>adj</sub>) for the compressive strength model are 0.9632 and 0.9544 respectively, and for the E-modulus model are 0.9319 and 0.9157 respectively, showing that the models developed by RSM are relatively well correlated with the experimental results.</p>\\n </div>\",\"PeriodicalId\":100223,\"journal\":{\"name\":\"ce/papers\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-12-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://onlinelibrary.wiley.com/doi/epdf/10.1002/cepa.2872\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ce/papers\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1002/cepa.2872\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ce/papers","FirstCategoryId":"1085","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/cepa.2872","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

近年来,为了改善再生骨料混凝土(RAC)的抗压性能,在混凝土混合料中加入了农业副产品稻壳灰作为补充胶凝材料。本研究旨在优化RAC的混合料设计,考虑两个变量:再生骨料(RA)对天然骨料(NA)的替代率(wt.%)有三个水平(0%、50%和100%),RHA对水泥的替代率(wt.%)有三个水平(0%、10%和20%)。在混凝土龄期28 d时进行全因子试验。通过响应面法(RSM),可以计算出优化后的RA替代率和RHA替代率相对于28天的抗压强度和e模量,反之也可以预测含RHA RAC 28天的抗压强度和e模量。根据响应面模型,当RA替代率为0%、RHA替代率为7%时,抗压强度达到最大值;当RA替代率为17%、RHA替代率为7%时,e -模量达到最大值。抗压强度模型的决定系数(R2)和调整系数(R2)分别为0.9632和0.9544,e -模量模型的决定系数(R2)和调整系数(R2)分别为0.9319和0.9157,表明RSM模型与试验结果具有较好的相关性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimisation and prediction of compressive properties for concrete containing recycled aggregates and rice husk ash using response surface methodology (RSM)

Rice husk ash (RHA), an agricultural by-product, has been added as supplementary cementitious material (SCM) in concrete mixture to improve the compressive properties of recycled aggregate concrete (RAC) in recent years. This study aimed to optimise the mixture design of RAC considering two variables: the replacement ratio (wt.%) of recycled aggregate (RA) to natural aggregate (NA) with three levels (0%, 50% and 100%) and the replacement ratio (wt.%) of RHA to cement with three levels (0%, 10% and 20%). Compression test was implemented at concrete age of 28 days based on the full factorial experiment. By means of response surface methodology (RSM), the optimised RA replacement ratio and RHA replacement ratio can be calculated with respect to the compressive strength and E-modulus at 28 days, and vice versa the compressive strength and E-modulus at 28 days of RAC containing RHA can also be predicted. According to response surface modelling, the compressive strength reaches the maximum value when the RA replacement ratio is 0% and the RHA replacement ratio is 7%, and the E-modulus would reach the maximum when the RA replacement ratio is 17% and the RHA replacement ratio is 7%. The determination coefficient (R2) and adjusted coefficient (R2adj) for the compressive strength model are 0.9632 and 0.9544 respectively, and for the E-modulus model are 0.9319 and 0.9157 respectively, showing that the models developed by RSM are relatively well correlated with the experimental results.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信