Ruixue Cao , Jie Hu , Yingjie Zhang , Na Zhao , Chonghui Yue
{"title":"Electromagnetic sensing and modeling for cement paste moisture estimation","authors":"Ruixue Cao , Jie Hu , Yingjie Zhang , Na Zhao , Chonghui Yue","doi":"10.1016/j.measurement.2025.118097","DOIUrl":null,"url":null,"abstract":"<div><div>Electromagnetic sensing techniques, such as ground-penetrating radar and imaging radar, are capable of both surface and subsurface sensing of concrete structures, such as bridges, roadways, and tunnels, etc. However, the performance and effectiveness of electromagnetic sensing techniques for concretes highly depend on a fundamental understanding of the material’s dielectric properties as a function of the water-to-cement (w/c) ratio and moisture content. The aim of this paper is to investigate the combined effects of the w/c ratios (0.35, 0.42, 0.45, 0.5, 0.55) and moisture content in cement paste within the frequency range of 1–4.5 GHz. Twelve cement paste specimens were analyzed: six were oven-dried, and six were conditioned at room temperature. The dielectric properties of the twelve specimens were measured in a frequency range of 1–4.5 GHz. Subsequently, the dielectric constants were modeled and discussed. The model was used to estimate the moisture content of the cement paste. The estimated moisture contents were compared with the actual results. The results indicate that for most samples, the estimated results match very well with the actual results. However, with a lower moisture content, the model tends to exhibit a bias toward underestimation.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"256 ","pages":"Article 118097"},"PeriodicalIF":5.2000,"publicationDate":"2025-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Measurement","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0263224125014563","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
Electromagnetic sensing techniques, such as ground-penetrating radar and imaging radar, are capable of both surface and subsurface sensing of concrete structures, such as bridges, roadways, and tunnels, etc. However, the performance and effectiveness of electromagnetic sensing techniques for concretes highly depend on a fundamental understanding of the material’s dielectric properties as a function of the water-to-cement (w/c) ratio and moisture content. The aim of this paper is to investigate the combined effects of the w/c ratios (0.35, 0.42, 0.45, 0.5, 0.55) and moisture content in cement paste within the frequency range of 1–4.5 GHz. Twelve cement paste specimens were analyzed: six were oven-dried, and six were conditioned at room temperature. The dielectric properties of the twelve specimens were measured in a frequency range of 1–4.5 GHz. Subsequently, the dielectric constants were modeled and discussed. The model was used to estimate the moisture content of the cement paste. The estimated moisture contents were compared with the actual results. The results indicate that for most samples, the estimated results match very well with the actual results. However, with a lower moisture content, the model tends to exhibit a bias toward underestimation.
期刊介绍:
Contributions are invited on novel achievements in all fields of measurement and instrumentation science and technology. Authors are encouraged to submit novel material, whose ultimate goal is an advancement in the state of the art of: measurement and metrology fundamentals, sensors, measurement instruments, measurement and estimation techniques, measurement data processing and fusion algorithms, evaluation procedures and methodologies for plants and industrial processes, performance analysis of systems, processes and algorithms, mathematical models for measurement-oriented purposes, distributed measurement systems in a connected world.