Jae Hong Kim , In Kuk Kang , Tae Yong Shin , Chan Kyu Park
{"title":"Automated experimentation for evaluating cement dispersant performance","authors":"Jae Hong Kim , In Kuk Kang , Tae Yong Shin , Chan Kyu Park","doi":"10.1016/j.cemconres.2025.107895","DOIUrl":null,"url":null,"abstract":"<div><div>An automated experimental system enables precise evaluation of cement dispersant performance through rheological measurements of 230 mL mortar samples. Analysis of 129 mortar samples demonstrated comprehensive characterization of dispersant effects beyond traditional manual testing capabilities. Principal component analysis revealed distinct patterns in torque measurements, explaining the variance of the pattern and effectively capturing dispersant performance differences. The automated system achieved superior reproducibility with 7% coefficient of variance, which can be considered as the inherent variation of materials. Observation-informed learning extended the system's utility, successfully predicting flow and bleeding rate. Results confirmed superior performance of third-generation polycarboxylate dispersants while providing new insights into dosage-rheology relationships. This automated approach establishes a framework for more efficient and comprehensive evaluation of cement-based materials.</div></div>","PeriodicalId":266,"journal":{"name":"Cement and Concrete Research","volume":"194 ","pages":"Article 107895"},"PeriodicalIF":13.1000,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cement and Concrete Research","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0008884625001140","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/4/12 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"CONSTRUCTION & BUILDING TECHNOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
An automated experimental system enables precise evaluation of cement dispersant performance through rheological measurements of 230 mL mortar samples. Analysis of 129 mortar samples demonstrated comprehensive characterization of dispersant effects beyond traditional manual testing capabilities. Principal component analysis revealed distinct patterns in torque measurements, explaining the variance of the pattern and effectively capturing dispersant performance differences. The automated system achieved superior reproducibility with 7% coefficient of variance, which can be considered as the inherent variation of materials. Observation-informed learning extended the system's utility, successfully predicting flow and bleeding rate. Results confirmed superior performance of third-generation polycarboxylate dispersants while providing new insights into dosage-rheology relationships. This automated approach establishes a framework for more efficient and comprehensive evaluation of cement-based materials.
期刊介绍：
Cement and Concrete Research is dedicated to publishing top-notch research on the materials science and engineering of cement, cement composites, mortars, concrete, and related materials incorporating cement or other mineral binders. The journal prioritizes reporting significant findings in research on the properties and performance of cementitious materials. It also covers novel experimental techniques, the latest analytical and modeling methods, examination and diagnosis of actual cement and concrete structures, and the exploration of potential improvements in materials.
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