Jue Lu , Faguang Leng , Jingliang Xia , Jing Wang , Longfang Ren
{"title":"Quantitative evaluation and traceability analysis of concrete apparent shade and apparent uniformity","authors":"Jue Lu , Faguang Leng , Jingliang Xia , Jing Wang , Longfang Ren","doi":"10.1016/j.cscm.2025.e05006","DOIUrl":null,"url":null,"abstract":"<div><div>Appearance quality serves as a comprehensive indicator of material homogeneity and construction quality. However, research on appearance quality traceability remains limited, especially regarding the influence of controllable factors during production. To address this gap, concrete was prepared using different mix proportions, formwork types, and release agents, with appearance images collected at specified curing ages. The average grayscale (<span><math><mi>Ave</mi></math></span>) and the coefficient of variation of grayscale (<span><math><mi>Cv</mi></math></span>) were employed as quantitative indicators for apparent shade and uniformity, respectively, using digital image processing techniques. Then, statistical analysis revealed that formwork type, release agent and curing age together explained the variation in apparent shade. Among these factors, only formwork was used to explain the change in apparent uniformity. Finally, through validity test, internal test, external test and residual analysis, the stability and prediction range of the models were confirmed. This method can be used for rapid batch screening, like initial inspection on construction sites.</div></div>","PeriodicalId":9641,"journal":{"name":"Case Studies in Construction Materials","volume":"23 ","pages":"Article e05006"},"PeriodicalIF":6.5000,"publicationDate":"2025-07-01","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/S2214509525008046","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
Appearance quality serves as a comprehensive indicator of material homogeneity and construction quality. However, research on appearance quality traceability remains limited, especially regarding the influence of controllable factors during production. To address this gap, concrete was prepared using different mix proportions, formwork types, and release agents, with appearance images collected at specified curing ages. The average grayscale () and the coefficient of variation of grayscale () were employed as quantitative indicators for apparent shade and uniformity, respectively, using digital image processing techniques. Then, statistical analysis revealed that formwork type, release agent and curing age together explained the variation in apparent shade. Among these factors, only formwork was used to explain the change in apparent uniformity. Finally, through validity test, internal test, external test and residual analysis, the stability and prediction range of the models were confirmed. This method can be used for rapid batch screening, like initial inspection on construction sites.
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.