{"title":"利用第一代伽马计算机断层扫描和超分辨率成像加强对钢筋混凝土结构的评估","authors":"Wilson Macharia Kairu , Siphila Wanjiku Mumenya , Kenneth Dickson Njoroge , Prabhu Rajagopal","doi":"10.1016/j.ndteint.2025.103387","DOIUrl":null,"url":null,"abstract":"<div><div>This paper discusses a novel approach utilising first-generation Gamma Computed Tomography (fgen-GCT) for the non-destructive evaluation of reinforced concrete structures. Through both laboratory experiments and field applications, the effectiveness of fgen-GCT in imaging internal structural elements, such as reinforcement bars and conduits, is demonstrated. Additionally, the integration of a Super-Resolution Generative Adversarial Network (SRGAN) is explored to enhance image resolution from lower-resolution scans, thereby reducing the acquisition time and minimising radiation exposure risks. The results indicate the potential of fgen-GCT to improve structural assessment accuracy, thereby contributing to enhanced infrastructure inspection and maintenance practices.</div></div>","PeriodicalId":18868,"journal":{"name":"Ndt & E International","volume":"154 ","pages":"Article 103387"},"PeriodicalIF":4.1000,"publicationDate":"2025-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Enhanced structural evaluation of reinforced concrete using first generation gamma computed tomography and super-resolution imaging\",\"authors\":\"Wilson Macharia Kairu , Siphila Wanjiku Mumenya , Kenneth Dickson Njoroge , Prabhu Rajagopal\",\"doi\":\"10.1016/j.ndteint.2025.103387\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>This paper discusses a novel approach utilising first-generation Gamma Computed Tomography (fgen-GCT) for the non-destructive evaluation of reinforced concrete structures. Through both laboratory experiments and field applications, the effectiveness of fgen-GCT in imaging internal structural elements, such as reinforcement bars and conduits, is demonstrated. Additionally, the integration of a Super-Resolution Generative Adversarial Network (SRGAN) is explored to enhance image resolution from lower-resolution scans, thereby reducing the acquisition time and minimising radiation exposure risks. The results indicate the potential of fgen-GCT to improve structural assessment accuracy, thereby contributing to enhanced infrastructure inspection and maintenance practices.</div></div>\",\"PeriodicalId\":18868,\"journal\":{\"name\":\"Ndt & E International\",\"volume\":\"154 \",\"pages\":\"Article 103387\"},\"PeriodicalIF\":4.1000,\"publicationDate\":\"2025-03-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Ndt & E International\",\"FirstCategoryId\":\"88\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0963869525000684\",\"RegionNum\":2,\"RegionCategory\":\"材料科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"MATERIALS SCIENCE, CHARACTERIZATION & TESTING\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Ndt & E International","FirstCategoryId":"88","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0963869525000684","RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MATERIALS SCIENCE, CHARACTERIZATION & TESTING","Score":null,"Total":0}
Enhanced structural evaluation of reinforced concrete using first generation gamma computed tomography and super-resolution imaging
This paper discusses a novel approach utilising first-generation Gamma Computed Tomography (fgen-GCT) for the non-destructive evaluation of reinforced concrete structures. Through both laboratory experiments and field applications, the effectiveness of fgen-GCT in imaging internal structural elements, such as reinforcement bars and conduits, is demonstrated. Additionally, the integration of a Super-Resolution Generative Adversarial Network (SRGAN) is explored to enhance image resolution from lower-resolution scans, thereby reducing the acquisition time and minimising radiation exposure risks. The results indicate the potential of fgen-GCT to improve structural assessment accuracy, thereby contributing to enhanced infrastructure inspection and maintenance practices.
期刊介绍:
NDT&E international publishes peer-reviewed results of original research and development in all categories of the fields of nondestructive testing and evaluation including ultrasonics, electromagnetics, radiography, optical and thermal methods. In addition to traditional NDE topics, the emerging technology area of inspection of civil structures and materials is also emphasized. The journal publishes original papers on research and development of new inspection techniques and methods, as well as on novel and innovative applications of established methods. Papers on NDE sensors and their applications both for inspection and process control, as well as papers describing novel NDE systems for structural health monitoring and their performance in industrial settings are also considered. Other regular features include international news, new equipment and a calendar of forthcoming worldwide meetings. This journal is listed in Current Contents.