{"title":"利用矿粉智能优化填料密度,实现水泥基复合材料的清洁生产","authors":"","doi":"10.1016/j.dibe.2024.100532","DOIUrl":null,"url":null,"abstract":"<div><p>Cementitious composites are porous materials; therefore, controlling their porosity during the design process is crucial to ensuring the quality and strength of the composite. Recently, with the growing urgency to reduce the carbon footprint of cementitious composites, novel admixtures have been introduced as substitutes for cement. Each time a novel admixture is implemented, a research campaign is required to evaluate packing density. Traditional methods used for this purpose are time-consuming, costly, and generate waste. Implementing a waste-free solution using neural networks is a promising alternative. The authors present an analysis of the effectiveness of substituting cement with fly ash and granite powder up to 30% of the cement volume in composites. Additionally, they designed a neural network model to predict the packing density of these mixtures. The practical value of this approach was demonstrated through life cycle assessment analyses.</p></div>","PeriodicalId":34137,"journal":{"name":"Developments in the Built Environment","volume":null,"pages":null},"PeriodicalIF":6.2000,"publicationDate":"2024-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666165924002138/pdfft?md5=bd307fbdfd412b862e2b9df969c51261&pid=1-s2.0-S2666165924002138-main.pdf","citationCount":"0","resultStr":"{\"title\":\"Smart optimization of packing density for cleaner production of cementitious composites using mineral powders\",\"authors\":\"\",\"doi\":\"10.1016/j.dibe.2024.100532\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Cementitious composites are porous materials; therefore, controlling their porosity during the design process is crucial to ensuring the quality and strength of the composite. Recently, with the growing urgency to reduce the carbon footprint of cementitious composites, novel admixtures have been introduced as substitutes for cement. Each time a novel admixture is implemented, a research campaign is required to evaluate packing density. Traditional methods used for this purpose are time-consuming, costly, and generate waste. Implementing a waste-free solution using neural networks is a promising alternative. The authors present an analysis of the effectiveness of substituting cement with fly ash and granite powder up to 30% of the cement volume in composites. Additionally, they designed a neural network model to predict the packing density of these mixtures. The practical value of this approach was demonstrated through life cycle assessment analyses.</p></div>\",\"PeriodicalId\":34137,\"journal\":{\"name\":\"Developments in the Built Environment\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":6.2000,\"publicationDate\":\"2024-08-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S2666165924002138/pdfft?md5=bd307fbdfd412b862e2b9df969c51261&pid=1-s2.0-S2666165924002138-main.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Developments in the Built Environment\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2666165924002138\",\"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}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Developments in the Built Environment","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2666165924002138","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}
Smart optimization of packing density for cleaner production of cementitious composites using mineral powders
Cementitious composites are porous materials; therefore, controlling their porosity during the design process is crucial to ensuring the quality and strength of the composite. Recently, with the growing urgency to reduce the carbon footprint of cementitious composites, novel admixtures have been introduced as substitutes for cement. Each time a novel admixture is implemented, a research campaign is required to evaluate packing density. Traditional methods used for this purpose are time-consuming, costly, and generate waste. Implementing a waste-free solution using neural networks is a promising alternative. The authors present an analysis of the effectiveness of substituting cement with fly ash and granite powder up to 30% of the cement volume in composites. Additionally, they designed a neural network model to predict the packing density of these mixtures. The practical value of this approach was demonstrated through life cycle assessment analyses.
期刊介绍:
Developments in the Built Environment (DIBE) is a recently established peer-reviewed gold open access journal, ensuring that all accepted articles are permanently and freely accessible. Focused on civil engineering and the built environment, DIBE publishes original papers and short communications. Encompassing topics such as construction materials and building sustainability, the journal adopts a holistic approach with the aim of benefiting the community.