轻骨料混凝土弹性模量预测模型的适用性及影响因素分析

IF 8 1区 工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY
Yuan Gao , Xiao Han , Xincheng Su
{"title":"轻骨料混凝土弹性模量预测模型的适用性及影响因素分析","authors":"Yuan Gao ,&nbsp;Xiao Han ,&nbsp;Xincheng Su","doi":"10.1016/j.conbuildmat.2025.140022","DOIUrl":null,"url":null,"abstract":"<div><div>Elastic modulus is an important mechanical performance indicator of lightweight aggregate concrete (LWAC). In this paper, lightweight aggregate concrete is regarded as a two-phase body composed of mortar and lightweight aggregate. In the range of conventional performance parameters of lightweight aggregate concrete, the relationship between its elastic modulus and mortar and lightweight aggregate is investigated. Considering 7 MPa ordinary strength ceramsite lightweight aggregate, 23 MPa high-strength ceramsite lightweight aggregate and 60 MPa, 80 MPa high-strength mortar, experiments were designed with mortar elastic modulus, lightweight aggregate elastic modulus, and lightweight aggregate volume fraction as research variables. Combining 275 sets of experimental data from relevant research literatures, the applicability of the concrete elastic modulus prediction model based on the two-phase composite assumption in lightweight aggregate concrete is compared and verified by experiments. The prediction accuracy of each model is evaluated, and the prediction model suitable for the elastic modulus of lightweight aggregate concrete is identified. The results indicate that (1) the elastic modulus of mortar, the elastic modulus of aggregate, and the volume fraction of aggregate are key factors influencing the elastic modulus of lightweight concrete. (2) Testing has confirmed that a single series or parallel mode in the two-phase composite model cannot accurately predict the elastic modulus of lightweight aggregate concrete. The series model yields the lowest prediction, while the parallel model provides the highest prediction. Among the two-phase composite models, the Maxwell model and the Counto model exhibit superior prediction accuracy, with mean ratios of the predicted results to test results being 1.003 and 1.001, respectively, which are very close to 1. Furthermore, all predicted results deviate from the test results by less than 5 %, as verified by relevant research literature data. (3) Experimental data from high-strength ceramsite lightweight aggregate concrete with a cylinder compressive strength of 23 MPa further validate that the Maxwell model and Counto model are suitable for predicting the properties of high-strength lightweight aggregate concrete. The average ratio between predicted and test results are 1.000 and 0.999, approximately equal to 1. The research results of this paper determine the prediction model suitable for the elastic modulus of lightweight aggregate concrete and broaden the scope of application of the prediction model, in order to provide support for the design and prediction of the elastic modulus of lightweight aggregate concrete, and promote the application of high-strength lightweight aggregate concrete in high-rise buildings, long-span bridge and other fields.</div></div>","PeriodicalId":288,"journal":{"name":"Construction and Building Materials","volume":"462 ","pages":"Article 140022"},"PeriodicalIF":8.0000,"publicationDate":"2025-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Analysis of applicability and influencing factors of elastic modulus prediction model of lightweight aggregate concrete\",\"authors\":\"Yuan Gao ,&nbsp;Xiao Han ,&nbsp;Xincheng Su\",\"doi\":\"10.1016/j.conbuildmat.2025.140022\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Elastic modulus is an important mechanical performance indicator of lightweight aggregate concrete (LWAC). In this paper, lightweight aggregate concrete is regarded as a two-phase body composed of mortar and lightweight aggregate. In the range of conventional performance parameters of lightweight aggregate concrete, the relationship between its elastic modulus and mortar and lightweight aggregate is investigated. Considering 7 MPa ordinary strength ceramsite lightweight aggregate, 23 MPa high-strength ceramsite lightweight aggregate and 60 MPa, 80 MPa high-strength mortar, experiments were designed with mortar elastic modulus, lightweight aggregate elastic modulus, and lightweight aggregate volume fraction as research variables. Combining 275 sets of experimental data from relevant research literatures, the applicability of the concrete elastic modulus prediction model based on the two-phase composite assumption in lightweight aggregate concrete is compared and verified by experiments. The prediction accuracy of each model is evaluated, and the prediction model suitable for the elastic modulus of lightweight aggregate concrete is identified. The results indicate that (1) the elastic modulus of mortar, the elastic modulus of aggregate, and the volume fraction of aggregate are key factors influencing the elastic modulus of lightweight concrete. (2) Testing has confirmed that a single series or parallel mode in the two-phase composite model cannot accurately predict the elastic modulus of lightweight aggregate concrete. The series model yields the lowest prediction, while the parallel model provides the highest prediction. Among the two-phase composite models, the Maxwell model and the Counto model exhibit superior prediction accuracy, with mean ratios of the predicted results to test results being 1.003 and 1.001, respectively, which are very close to 1. Furthermore, all predicted results deviate from the test results by less than 5 %, as verified by relevant research literature data. (3) Experimental data from high-strength ceramsite lightweight aggregate concrete with a cylinder compressive strength of 23 MPa further validate that the Maxwell model and Counto model are suitable for predicting the properties of high-strength lightweight aggregate concrete. The average ratio between predicted and test results are 1.000 and 0.999, approximately equal to 1. The research results of this paper determine the prediction model suitable for the elastic modulus of lightweight aggregate concrete and broaden the scope of application of the prediction model, in order to provide support for the design and prediction of the elastic modulus of lightweight aggregate concrete, and promote the application of high-strength lightweight aggregate concrete in high-rise buildings, long-span bridge and other fields.</div></div>\",\"PeriodicalId\":288,\"journal\":{\"name\":\"Construction and Building Materials\",\"volume\":\"462 \",\"pages\":\"Article 140022\"},\"PeriodicalIF\":8.0000,\"publicationDate\":\"2025-02-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Construction and Building Materials\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0950061825001709\",\"RegionNum\":1,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"CONSTRUCTION & BUILDING TECHNOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Construction and Building Materials","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0950061825001709","RegionNum":1,"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

摘要

弹性模量是轻骨料混凝土的重要力学性能指标。本文将轻骨料混凝土视为由砂浆和轻骨料组成的两相体。在轻骨料混凝土常规性能参数范围内,研究了其弹性模量与砂浆、轻骨料之间的关系。以7 MPa普通强度陶粒轻骨料、23 MPa高强陶粒轻骨料和60 MPa、80 MPa高强砂浆为研究对象,以砂浆弹性模量、轻骨料弹性模量和轻骨料体积分数为研究变量进行试验设计。结合相关研究文献的275组试验数据,对比验证了基于两相复合假设的混凝土弹性模量预测模型在轻骨料混凝土中的适用性。对各模型的预测精度进行了评价,确定了适合轻骨料混凝土弹性模量的预测模型。结果表明:(1)砂浆弹性模量、骨料弹性模量和骨料体积分数是影响轻量化混凝土弹性模量的关键因素。(2)试验证实,两相复合模型中的单一串联或并联模式不能准确预测轻骨料混凝土的弹性模量。串联模型的预测值最低,而并行模型的预测值最高。在两相复合模型中,Maxwell模型和Counto模型的预测精度较高,预测结果与检验结果的平均比值分别为1.003和1.001,非常接近于1。通过相关研究文献数据验证,所有预测结果与试验结果的偏差均小于5 %。(3)筒体抗压强度为23 MPa的高强陶粒轻骨料混凝土试验数据进一步验证了Maxwell模型和Counto模型对高强轻骨料混凝土性能预测的适用性。预测结果与试验结果的平均比值分别为1.000和0.999,近似等于1。本文的研究成果确定了适合轻骨料混凝土弹性模量的预测模型,拓宽了预测模型的应用范围,以期为轻骨料混凝土弹性模量的设计和预测提供支持,促进高强轻骨料混凝土在高层建筑、大跨度桥梁等领域的应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analysis of applicability and influencing factors of elastic modulus prediction model of lightweight aggregate concrete
Elastic modulus is an important mechanical performance indicator of lightweight aggregate concrete (LWAC). In this paper, lightweight aggregate concrete is regarded as a two-phase body composed of mortar and lightweight aggregate. In the range of conventional performance parameters of lightweight aggregate concrete, the relationship between its elastic modulus and mortar and lightweight aggregate is investigated. Considering 7 MPa ordinary strength ceramsite lightweight aggregate, 23 MPa high-strength ceramsite lightweight aggregate and 60 MPa, 80 MPa high-strength mortar, experiments were designed with mortar elastic modulus, lightweight aggregate elastic modulus, and lightweight aggregate volume fraction as research variables. Combining 275 sets of experimental data from relevant research literatures, the applicability of the concrete elastic modulus prediction model based on the two-phase composite assumption in lightweight aggregate concrete is compared and verified by experiments. The prediction accuracy of each model is evaluated, and the prediction model suitable for the elastic modulus of lightweight aggregate concrete is identified. The results indicate that (1) the elastic modulus of mortar, the elastic modulus of aggregate, and the volume fraction of aggregate are key factors influencing the elastic modulus of lightweight concrete. (2) Testing has confirmed that a single series or parallel mode in the two-phase composite model cannot accurately predict the elastic modulus of lightweight aggregate concrete. The series model yields the lowest prediction, while the parallel model provides the highest prediction. Among the two-phase composite models, the Maxwell model and the Counto model exhibit superior prediction accuracy, with mean ratios of the predicted results to test results being 1.003 and 1.001, respectively, which are very close to 1. Furthermore, all predicted results deviate from the test results by less than 5 %, as verified by relevant research literature data. (3) Experimental data from high-strength ceramsite lightweight aggregate concrete with a cylinder compressive strength of 23 MPa further validate that the Maxwell model and Counto model are suitable for predicting the properties of high-strength lightweight aggregate concrete. The average ratio between predicted and test results are 1.000 and 0.999, approximately equal to 1. The research results of this paper determine the prediction model suitable for the elastic modulus of lightweight aggregate concrete and broaden the scope of application of the prediction model, in order to provide support for the design and prediction of the elastic modulus of lightweight aggregate concrete, and promote the application of high-strength lightweight aggregate concrete in high-rise buildings, long-span bridge and other fields.
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
Construction and Building Materials
Construction and Building Materials 工程技术-材料科学:综合
CiteScore
13.80
自引率
21.60%
发文量
3632
审稿时长
82 days
期刊介绍: Construction and Building Materials offers an international platform for sharing innovative and original research and development in the realm of construction and building materials, along with their practical applications in new projects and repair practices. The journal publishes a diverse array of pioneering research and application papers, detailing laboratory investigations and, to a limited extent, numerical analyses or reports on full-scale projects. Multi-part papers are discouraged. Additionally, Construction and Building Materials features comprehensive case studies and insightful review articles that contribute to new insights in the field. Our focus is on papers related to construction materials, excluding those on structural engineering, geotechnics, and unbound highway layers. Covered materials and technologies encompass cement, concrete reinforcement, bricks and mortars, additives, corrosion technology, ceramics, timber, steel, polymers, glass fibers, recycled materials, bamboo, rammed earth, non-conventional building materials, bituminous materials, and applications in railway materials.
×
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:604180095
Book学术官方微信