{"title":"高分辨率连续焊接钢轨应变测量的多视觉系统","authors":"Junhwa Lee, Changgil Lee, Inho Yeo, Seunghoo Jeong","doi":"10.1155/stc/2447466","DOIUrl":null,"url":null,"abstract":"<div>\n <p>A continuous welded rail (CWR) is a critical component of modern rail systems, providing increased stability, improved passenger comfort, and reduced maintenance compared with jointed rails. However, the unique mechanical properties of CWR, particularly in the immovable zone where friction restricts longitudinal deformation, require accurate and continuous monitoring to prevent rail buckling or fractures. Despite the availability of various strain-monitoring technologies, including fiber Bragg grating sensors, strain gauges, and vision-based systems, these approaches have significant limitations in full-scale CWR applications. Challenges such as insufficient resolution for detecting minute strains and sensor-adhesion durability reduce the effectiveness of current strain-monitoring solutions. To address these limitations, we propose a high-resolution, vision-based biaxial strain measurement system specifically designed for CWRs. This system utilizes three microscopic cameras strategically positioned to capture detailed displacement data, allowing for accurate computation of biaxial strain through advanced image processing techniques. The proposed system was validated through both laboratory-scale and full-scale experiments and exhibited a minimum detectable strain of 1.5 µε under controlled loading conditions.</p>\n </div>","PeriodicalId":49471,"journal":{"name":"Structural Control & Health Monitoring","volume":"2025 1","pages":""},"PeriodicalIF":5.1000,"publicationDate":"2025-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/stc/2447466","citationCount":"0","resultStr":"{\"title\":\"Multivision System for High-Resolution Strain Measurement of Continuously Welded Rail\",\"authors\":\"Junhwa Lee, Changgil Lee, Inho Yeo, Seunghoo Jeong\",\"doi\":\"10.1155/stc/2447466\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n <p>A continuous welded rail (CWR) is a critical component of modern rail systems, providing increased stability, improved passenger comfort, and reduced maintenance compared with jointed rails. However, the unique mechanical properties of CWR, particularly in the immovable zone where friction restricts longitudinal deformation, require accurate and continuous monitoring to prevent rail buckling or fractures. Despite the availability of various strain-monitoring technologies, including fiber Bragg grating sensors, strain gauges, and vision-based systems, these approaches have significant limitations in full-scale CWR applications. Challenges such as insufficient resolution for detecting minute strains and sensor-adhesion durability reduce the effectiveness of current strain-monitoring solutions. To address these limitations, we propose a high-resolution, vision-based biaxial strain measurement system specifically designed for CWRs. This system utilizes three microscopic cameras strategically positioned to capture detailed displacement data, allowing for accurate computation of biaxial strain through advanced image processing techniques. The proposed system was validated through both laboratory-scale and full-scale experiments and exhibited a minimum detectable strain of 1.5 µε under controlled loading conditions.</p>\\n </div>\",\"PeriodicalId\":49471,\"journal\":{\"name\":\"Structural Control & Health Monitoring\",\"volume\":\"2025 1\",\"pages\":\"\"},\"PeriodicalIF\":5.1000,\"publicationDate\":\"2025-06-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://onlinelibrary.wiley.com/doi/epdf/10.1155/stc/2447466\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Structural Control & Health Monitoring\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1155/stc/2447466\",\"RegionNum\":2,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"CONSTRUCTION & BUILDING TECHNOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Structural Control & Health Monitoring","FirstCategoryId":"5","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1155/stc/2447466","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CONSTRUCTION & BUILDING TECHNOLOGY","Score":null,"Total":0}
Multivision System for High-Resolution Strain Measurement of Continuously Welded Rail
A continuous welded rail (CWR) is a critical component of modern rail systems, providing increased stability, improved passenger comfort, and reduced maintenance compared with jointed rails. However, the unique mechanical properties of CWR, particularly in the immovable zone where friction restricts longitudinal deformation, require accurate and continuous monitoring to prevent rail buckling or fractures. Despite the availability of various strain-monitoring technologies, including fiber Bragg grating sensors, strain gauges, and vision-based systems, these approaches have significant limitations in full-scale CWR applications. Challenges such as insufficient resolution for detecting minute strains and sensor-adhesion durability reduce the effectiveness of current strain-monitoring solutions. To address these limitations, we propose a high-resolution, vision-based biaxial strain measurement system specifically designed for CWRs. This system utilizes three microscopic cameras strategically positioned to capture detailed displacement data, allowing for accurate computation of biaxial strain through advanced image processing techniques. The proposed system was validated through both laboratory-scale and full-scale experiments and exhibited a minimum detectable strain of 1.5 µε under controlled loading conditions.
期刊介绍:
The Journal Structural Control and Health Monitoring encompasses all theoretical and technological aspects of structural control, structural health monitoring theory and smart materials and structures. The journal focuses on aerospace, civil, infrastructure and mechanical engineering applications.
Original contributions based on analytical, computational and experimental methods are solicited in three main areas: monitoring, control, and smart materials and structures, covering subjects such as system identification, health monitoring, health diagnostics, multi-functional materials, signal processing, sensor technology, passive, active and semi active control schemes and implementations, shape memory alloys, piezoelectrics and mechatronics.
Also of interest are actuator design, dynamic systems, dynamic stability, artificial intelligence tools, data acquisition, wireless communications, measurements, MEMS/NEMS sensors for local damage detection, optical fibre sensors for health monitoring, remote control of monitoring systems, sensor-logger combinations for mobile applications, corrosion sensors, scour indicators and experimental techniques.