{"title":"Full-field monitoring of segmental joint flexural tests using digital image correlation: a continuous non-contact methodology","authors":"Gong Yifan , Ding Wenqi , Jiang Hong , Qiao Yafei","doi":"10.1016/j.measurement.2026.120946","DOIUrl":null,"url":null,"abstract":"<div><div>With the continuous upscaling of tunnel cross-sections, the thickness of segmental linings shows progressive increasing. While increased thickness reduces overall structural failure risks, local joint damage remains a critical functional concern. However, conventional sensors struggle to capture detailed damage patterns due to their localized monitoring limitations. Digital Image Correlation (DIC) is a non-contact continuous monitoring technology and can easily realize the full-field monitoring. In this work, DIC is further developed to observe the joint deflection, joint rotational angle, crack width and damage distribution continuously. The proposed monitoring technology was applied in two flexural loading tests of segmental joints and validated by conventional sensors in the same set of test. The joint deflection and rotational angle measurements obtained from DIC agree well with those obtained from conventional displacement sensors under both positive and negative moment conditions. Additionally, the crack width measurement based on DIC offers a quantitative evaluation tool for monitoring the progression of joint damage. DIC measurements also revealed that the differences in joint design details could lead to distinct damage features under positive and negative bending moment conditions. Therefore, the utilization of DIC in joint loading tests overcomes certain limitations associated with conventional sensors and introduces new possibilities for research in this field.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"271 ","pages":"Article 120946"},"PeriodicalIF":6.1000,"publicationDate":"2026-04-28","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/S026322412600655X","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2026/2/23 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"ENGINEERING, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
With the continuous upscaling of tunnel cross-sections, the thickness of segmental linings shows progressive increasing. While increased thickness reduces overall structural failure risks, local joint damage remains a critical functional concern. However, conventional sensors struggle to capture detailed damage patterns due to their localized monitoring limitations. Digital Image Correlation (DIC) is a non-contact continuous monitoring technology and can easily realize the full-field monitoring. In this work, DIC is further developed to observe the joint deflection, joint rotational angle, crack width and damage distribution continuously. The proposed monitoring technology was applied in two flexural loading tests of segmental joints and validated by conventional sensors in the same set of test. The joint deflection and rotational angle measurements obtained from DIC agree well with those obtained from conventional displacement sensors under both positive and negative moment conditions. Additionally, the crack width measurement based on DIC offers a quantitative evaluation tool for monitoring the progression of joint damage. DIC measurements also revealed that the differences in joint design details could lead to distinct damage features under positive and negative bending moment conditions. Therefore, the utilization of DIC in joint loading tests overcomes certain limitations associated with conventional sensors and introduces new possibilities for research in this field.
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.