混凝土梁断裂过程中的自主超声成像与裂缝定位

IF 8.9 1区 工程技术 Q1 ENGINEERING, MECHANICAL
Magdalena Rucka , Monika Zielińska
{"title":"混凝土梁断裂过程中的自主超声成像与裂缝定位","authors":"Magdalena Rucka ,&nbsp;Monika Zielińska","doi":"10.1016/j.ymssp.2025.113105","DOIUrl":null,"url":null,"abstract":"<div><div>Monitoring the fracture process in concrete and detecting cracks at an early stage remains one of the major challenges in non-destructive testing of civil engineering structures. This paper presents a novel methodology for real-time fracture imaging in concrete structures using ultrasonic waves. The proposed approach introduces an innovative damage index that enables precise identification of both the location and onset time of crack initiation. Integrated with ultrasonic transmission tomography, this method forms the basis of an automated structural health monitoring system. To thoroughly assess the method performance, experimental validation was conducted on four concrete beams, three of plain concrete and one reinforced with a steel bar, each representing a distinct damage scenario. The accuracy and effectiveness of ultrasonic fracture imaging were verified using X-ray micro-computed tomography and digital image correlation.</div></div>","PeriodicalId":51124,"journal":{"name":"Mechanical Systems and Signal Processing","volume":"237 ","pages":"Article 113105"},"PeriodicalIF":8.9000,"publicationDate":"2025-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Autonomous ultrasonic imaging and crack localisation in concrete beams during the fracture process\",\"authors\":\"Magdalena Rucka ,&nbsp;Monika Zielińska\",\"doi\":\"10.1016/j.ymssp.2025.113105\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Monitoring the fracture process in concrete and detecting cracks at an early stage remains one of the major challenges in non-destructive testing of civil engineering structures. This paper presents a novel methodology for real-time fracture imaging in concrete structures using ultrasonic waves. The proposed approach introduces an innovative damage index that enables precise identification of both the location and onset time of crack initiation. Integrated with ultrasonic transmission tomography, this method forms the basis of an automated structural health monitoring system. To thoroughly assess the method performance, experimental validation was conducted on four concrete beams, three of plain concrete and one reinforced with a steel bar, each representing a distinct damage scenario. The accuracy and effectiveness of ultrasonic fracture imaging were verified using X-ray micro-computed tomography and digital image correlation.</div></div>\",\"PeriodicalId\":51124,\"journal\":{\"name\":\"Mechanical Systems and Signal Processing\",\"volume\":\"237 \",\"pages\":\"Article 113105\"},\"PeriodicalIF\":8.9000,\"publicationDate\":\"2025-07-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Mechanical Systems and Signal Processing\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0888327025008064\",\"RegionNum\":1,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, MECHANICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Mechanical Systems and Signal Processing","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0888327025008064","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, MECHANICAL","Score":null,"Total":0}
引用次数: 0

摘要

混凝土断裂过程的监测和裂缝的早期检测一直是土木工程结构无损检测的主要挑战之一。本文提出了一种利用超声波对混凝土结构进行实时断裂成像的新方法。该方法引入了一种创新的损伤指标,能够精确识别裂纹起裂的位置和起裂时间。该方法与超声透射层析成像相结合,构成了自动化结构健康监测系统的基础。为了彻底评估该方法的性能,在四个混凝土梁上进行了实验验证,三个是普通混凝土梁,一个是钢筋加固梁,每个梁代表不同的损伤场景。利用x射线微计算机断层扫描和数字图像相关技术验证了超声裂缝成像的准确性和有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Autonomous ultrasonic imaging and crack localisation in concrete beams during the fracture process
Monitoring the fracture process in concrete and detecting cracks at an early stage remains one of the major challenges in non-destructive testing of civil engineering structures. This paper presents a novel methodology for real-time fracture imaging in concrete structures using ultrasonic waves. The proposed approach introduces an innovative damage index that enables precise identification of both the location and onset time of crack initiation. Integrated with ultrasonic transmission tomography, this method forms the basis of an automated structural health monitoring system. To thoroughly assess the method performance, experimental validation was conducted on four concrete beams, three of plain concrete and one reinforced with a steel bar, each representing a distinct damage scenario. The accuracy and effectiveness of ultrasonic fracture imaging were verified using X-ray micro-computed tomography and digital image correlation.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Mechanical Systems and Signal Processing
Mechanical Systems and Signal Processing 工程技术-工程:机械
CiteScore
14.80
自引率
13.10%
发文量
1183
审稿时长
5.4 months
期刊介绍: Journal Name: Mechanical Systems and Signal Processing (MSSP) Interdisciplinary Focus: Mechanical, Aerospace, and Civil Engineering Purpose:Reporting scientific advancements of the highest quality Arising from new techniques in sensing, instrumentation, signal processing, modelling, and control of dynamic systems
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信