{"title":"Application of Image Analysis Technique in Visualization of Failure During the Testing Of Materials","authors":"H. Rupani, J. T. Chavda","doi":"10.1007/s11223-024-00658-0","DOIUrl":null,"url":null,"abstract":"<p>In experimental investigations, conventional measuring instruments such as dial gauges, linear variable differential transformers, and extensometers are used to measure the displacement at a specific gauge length (i.e., global deformation). They are contact-based instruments which are not able to evaluate the displacements within the gauge length (i.e., localized deformations). The image analysis techniques are able to evaluate the displacements at each point within the gauge length. In the present study, the applicability and effectiveness of the image analysis technique are assessed for four different materials, i.e., concrete, steel, wood, and geomembrane which are widely used in the field of geotechnical engineering as construction material for geo-structures. For this, four different tests, i.e., compression testing of the concrete cube, tensile testing of the steel plate and wooden strip, and wide-width tensile testing of the geomembrane are performed in a systematic manner. The image analysis technique is used to evaluate the displacement fields for each material under given loading conditions. The results obtained from the image analysis technique are compared with those of conventional measuring instruments to emphasize the applicability and effectiveness of the image analysis technique for different materials having different properties.</p>","PeriodicalId":22007,"journal":{"name":"Strength of Materials","volume":null,"pages":null},"PeriodicalIF":0.7000,"publicationDate":"2024-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Strength of Materials","FirstCategoryId":"88","ListUrlMain":"https://doi.org/10.1007/s11223-024-00658-0","RegionNum":4,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"MATERIALS SCIENCE, CHARACTERIZATION & TESTING","Score":null,"Total":0}
引用次数: 0
Abstract
In experimental investigations, conventional measuring instruments such as dial gauges, linear variable differential transformers, and extensometers are used to measure the displacement at a specific gauge length (i.e., global deformation). They are contact-based instruments which are not able to evaluate the displacements within the gauge length (i.e., localized deformations). The image analysis techniques are able to evaluate the displacements at each point within the gauge length. In the present study, the applicability and effectiveness of the image analysis technique are assessed for four different materials, i.e., concrete, steel, wood, and geomembrane which are widely used in the field of geotechnical engineering as construction material for geo-structures. For this, four different tests, i.e., compression testing of the concrete cube, tensile testing of the steel plate and wooden strip, and wide-width tensile testing of the geomembrane are performed in a systematic manner. The image analysis technique is used to evaluate the displacement fields for each material under given loading conditions. The results obtained from the image analysis technique are compared with those of conventional measuring instruments to emphasize the applicability and effectiveness of the image analysis technique for different materials having different properties.
期刊介绍:
Strength of Materials focuses on the strength of materials and structural components subjected to different types of force and thermal loadings, the limiting strength criteria of structures, and the theory of strength of structures. Consideration is given to actual operating conditions, problems of crack resistance and theories of failure, the theory of oscillations of real mechanical systems, and calculations of the stress-strain state of structural components.