Lara Guizi Anoni , Vladimir Guilherme Haach , Lev Khazanovich
{"title":"混凝土超声透射层析成像的策略测量减少","authors":"Lara Guizi Anoni , Vladimir Guilherme Haach , Lev Khazanovich","doi":"10.1016/j.measurement.2025.118170","DOIUrl":null,"url":null,"abstract":"<div><div>Non-destructive testing has become increasingly important in the civil engineering industry as a means to extend the lifespan of buildings through appropriate maintenance actions. Among these tests, ultrasonic tomography stands out as an effective method for accurately assessing the internal state of concrete elements. However, the challenge lies in the large number of measurements required for image reconstruction. This study proposes three distinct analyses to better understand the relationship between the number of measurements and the quality of ultrasonic transmission tomography, with a focus on minimizing the required measurements. Two methods were developed for the strategic reduction of measurements, utilizing the ICC metric and IDW interpolation. Numerical simulations were conducted on three models with different inclusion configurations, and an experimental model was used for validation. The findings suggest that a higher number of measurements does not necessarily result in higher quality images. Instead, strategic measurement reduction demonstrated that there is an optimal configuration that achieves high-quality images with a minimal number of measurements. This study offers valuable insights for practical applications in ultrasonic transmission tomography, potentially increasing its feasibility on a larger scale.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"256 ","pages":"Article 118170"},"PeriodicalIF":5.2000,"publicationDate":"2025-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Strategic measurement reduction in concrete ultrasonic transmission tomography\",\"authors\":\"Lara Guizi Anoni , Vladimir Guilherme Haach , Lev Khazanovich\",\"doi\":\"10.1016/j.measurement.2025.118170\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Non-destructive testing has become increasingly important in the civil engineering industry as a means to extend the lifespan of buildings through appropriate maintenance actions. Among these tests, ultrasonic tomography stands out as an effective method for accurately assessing the internal state of concrete elements. However, the challenge lies in the large number of measurements required for image reconstruction. This study proposes three distinct analyses to better understand the relationship between the number of measurements and the quality of ultrasonic transmission tomography, with a focus on minimizing the required measurements. Two methods were developed for the strategic reduction of measurements, utilizing the ICC metric and IDW interpolation. Numerical simulations were conducted on three models with different inclusion configurations, and an experimental model was used for validation. The findings suggest that a higher number of measurements does not necessarily result in higher quality images. Instead, strategic measurement reduction demonstrated that there is an optimal configuration that achieves high-quality images with a minimal number of measurements. This study offers valuable insights for practical applications in ultrasonic transmission tomography, potentially increasing its feasibility on a larger scale.</div></div>\",\"PeriodicalId\":18349,\"journal\":{\"name\":\"Measurement\",\"volume\":\"256 \",\"pages\":\"Article 118170\"},\"PeriodicalIF\":5.2000,\"publicationDate\":\"2025-06-14\",\"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/S0263224125015295\",\"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}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Measurement","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0263224125015295","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}
Strategic measurement reduction in concrete ultrasonic transmission tomography
Non-destructive testing has become increasingly important in the civil engineering industry as a means to extend the lifespan of buildings through appropriate maintenance actions. Among these tests, ultrasonic tomography stands out as an effective method for accurately assessing the internal state of concrete elements. However, the challenge lies in the large number of measurements required for image reconstruction. This study proposes three distinct analyses to better understand the relationship between the number of measurements and the quality of ultrasonic transmission tomography, with a focus on minimizing the required measurements. Two methods were developed for the strategic reduction of measurements, utilizing the ICC metric and IDW interpolation. Numerical simulations were conducted on three models with different inclusion configurations, and an experimental model was used for validation. The findings suggest that a higher number of measurements does not necessarily result in higher quality images. Instead, strategic measurement reduction demonstrated that there is an optimal configuration that achieves high-quality images with a minimal number of measurements. This study offers valuable insights for practical applications in ultrasonic transmission tomography, potentially increasing its feasibility on a larger scale.
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.