In-plane strain measurement by digital image correlation



Título del documento: In-plane strain measurement by digital image correlation
Revue: Journal of the Brazilian Society of Mechanical Sciences and Engineering
Base de datos: PERIÓDICA
Número de sistema: 000312202
ISSN: 1678-5878
Autores: 1
Instituciones: 1Lehigh University, Department of Mechanical Engineering, Bethlehem, Pensilvania. Estados Unidos de América
Año:
Periodo: Jul-Sep
Volumen: 23
Número: 3
Paginación: 215-221
País: Brasil
Idioma: Inglés
Tipo de documento: Artículo
Enfoque: Aplicado
Resumen en inglés This paper presents a "fast and simple" (FAS) detection algorithm based on the digital image correlation for measurement of the surface deformation of planar objects. The proposed algorithm uses only fine search at the pixel level resolution and surface fitting for sub-pixel level. Two different specimens are investigated to explore the feasibility of this proposed algorithm. The displacements calculated by the FAS algorithm are compared with the ones obtained from Newton-Raphson method (N-R) and Enhanced Sequential Similarity Detection Algorithm (ESSDA). The results show that the experimental data are in good agreement with the theoretical solution. The proposed algorithm is found to be much faster than Newton-Raphson method with inferior, yet reasonable, accuracy for displacement and strain evaluation in the cases of uniaxial tension and disk under diametrical compression tests
Disciplinas: Matemáticas
Palabras clave: Matemáticas aplicadas,
Tecnología de la información,
Imágenes digitales,
Deformación axial,
Deformación unitaria,
Correlación,
Interferometría de moteado
Keyword: Mathematics,
Applied mathematics,
Information technology,
Digital images,
Strain,
Correlation,
Speckle pattern
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