数字图像相关
灵活性(工程)
建筑工程
计算机科学
领域(数学)
结构健康监测
系统工程
工程类
数据科学
管理科学
风险分析(工程)
数学
结构工程
材料科学
业务
复合材料
统计
纯数学
作者
Renee C. Oats,Qingli Dai,Monique Head
出处
期刊:Practice Periodical on Structural Design and Construction
[American Society of Civil Engineers]
日期:2022-11-01
卷期号:27 (4)
被引量:6
标识
DOI:10.1061/(asce)sc.1943-5576.0000725
摘要
Structural evaluations are important for monitoring performance and behavior changes that occur due to environmental or other loading conditions. As a renowned experimental mechanics technique, digital image correlation (DIC) has become a widely accepted tool for obtaining not only qualitative, but quantitative structural engineering measurements. In this review, the principles of DIC for displacement field measurements are presented through structural evaluation illustrations. Several developing studies of the method in combination with other techniques for novel assessment approaches are also discussed. The method has grown immensely from conception, and its significance for paving the way to infrastructure resiliency framework is further highlighted. Ongoing DIC measurement challenges can also be reviewed in addition to leading initiatives for addressing future needs in evaluating the structural infrastructure. Overall, this review promotes the flexibility of DIC for implementation as a fully deployable structural evaluation method with great sustainable implications.
科研通智能强力驱动
Strongly Powered by AbleSci AI