RGB photoelasticity software on plates of stress birefringent materials

RGB photoelasticity software on plates of stress birefringent materials

Digital photoelasticity uses the phenomenon of birefringence for the analysis and description of the stress distribution through digital images and their digital processing. This work presents the development and design of a free, open-source code in MATLAB that adopts the RGB photoelasticity method...

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Huvudupphovsmän: Trejo Carrillo, David, Castañeda Balderas, Rubén, Díaz Díaz, Alberto
Materialtyp: Online
Språk:spa
Publicerad: Universidad Autónoma de Baja California 2021
Länkar:https://recit.uabc.mx/index.php/revista/article/view/155
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spelling recit-article-1552022-10-05T15:32:07Z RGB photoelasticity software on plates of stress birefringent materials Software de fotoelasticidad RGB en placas de materiales birrefringentes al esfuerzo Trejo Carrillo, David Castañeda Balderas, Rubén Díaz Díaz, Alberto Fotoelasticidad digital Distribución de esfuerzos Software MATLAB Digital photoelasticity Stress distribution Software MATLAB Digital photoelasticity uses the phenomenon of birefringence for the analysis and description of the stress distribution through digital images and their digital processing. This work presents the development and design of a free, open-source code in MATLAB that adopts the RGB photoelasticity methodology to determine the distribution of the principal stress difference in a flat specimen of a photoelastic material, subjected to mechanical loads in a state of flat stresses. This by processing a digital color image of a specimen of stress birefringent material, placed inside a circular polariscope in its darkfield configuration. The generation of artificial images representative of the phenomenon is presented in order to have input data for the development of the algorithm and a way to validate it. The steps required for the RGB photoelasticity methodology are also shown, including preparing a database or lookup table and analyzing the photoelastic image. In addition, the result of the calculation of the difference in principal efforts is compared with the results of the finite element, in which a good degree of reliability was obtained in the images used. La fotoelasticidad digital utiliza el fenómeno de la birrefringencia para el análisis y descripción de la distribución de esfuerzos a través de imágenes digitales y del procesamiento digital de las mismas. En este trabajo se presenta el desarrollo y diseño de un código, abierto y gratuito, en MATLAB que adopta la metodología de la fotoelasticidad RGB para determinar la distribución de la diferencia de esfuerzos principales en una probeta plana de un material fotoelástico, sometida a cargas mecánicas en un estado de esfuerzos planos. Esto mediante el procesamiento de una imagen digital a color de un espécimen de material birrefringente al esfuerzo, colocado dentro de un polariscopio circular en su configuración de campo oscuro. Se presenta la generación de imágenes artificiales representativas del fenómeno con el fin de tener datos de entrada para el desarrollo del algoritmo y una forma de validarlo. Se muestran también los pasos necesarios para la metodología de la fotoelasticidad RGB que incluyen la preparación de una base de datos o tabla de búsqueda y el análisis de la imagen fotoelástica. Se compara, además, el resultado del cálculo de la diferencia de esfuerzos principales con resultados de elemento finito, en lo cual se obtuvo un buen grado de confiabilidad en las imágenes utilizadas. Universidad Autónoma de Baja California 2021-12-30 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion application/pdf text/html text/xml https://recit.uabc.mx/index.php/revista/article/view/155 10.37636/recit.v44399411 REVISTA DE CIENCIAS TECNOLÓGICAS; Vol. 4 No. 4 (2021): October-December; 399-411 REVISTA DE CIENCIAS TECNOLÓGICAS; Vol. 4 Núm. 4 (2021): Octubre-Diciembre; 399-411 2594-1925 spa https://recit.uabc.mx/index.php/revista/article/view/155/310 https://recit.uabc.mx/index.php/revista/article/view/155/311 https://recit.uabc.mx/index.php/revista/article/view/155/312 Copyright (c) 2021 David Trejo Carrillo, Rubén Castañeda Balderas, Alberto Díaz Díaz https://creativecommons.org/licenses/by/4.0
institution RECIT
collection OJS
language spa
format Online
author Trejo Carrillo, David
Castañeda Balderas, Rubén
Díaz Díaz, Alberto
spellingShingle Trejo Carrillo, David
Castañeda Balderas, Rubén
Díaz Díaz, Alberto
RGB photoelasticity software on plates of stress birefringent materials
author_facet Trejo Carrillo, David
Castañeda Balderas, Rubén
Díaz Díaz, Alberto
author_sort Trejo Carrillo, David
title RGB photoelasticity software on plates of stress birefringent materials
title_short RGB photoelasticity software on plates of stress birefringent materials
title_full RGB photoelasticity software on plates of stress birefringent materials
title_fullStr RGB photoelasticity software on plates of stress birefringent materials
title_full_unstemmed RGB photoelasticity software on plates of stress birefringent materials
title_sort rgb photoelasticity software on plates of stress birefringent materials
description Digital photoelasticity uses the phenomenon of birefringence for the analysis and description of the stress distribution through digital images and their digital processing. This work presents the development and design of a free, open-source code in MATLAB that adopts the RGB photoelasticity methodology to determine the distribution of the principal stress difference in a flat specimen of a photoelastic material, subjected to mechanical loads in a state of flat stresses. This by processing a digital color image of a specimen of stress birefringent material, placed inside a circular polariscope in its darkfield configuration. The generation of artificial images representative of the phenomenon is presented in order to have input data for the development of the algorithm and a way to validate it. The steps required for the RGB photoelasticity methodology are also shown, including preparing a database or lookup table and analyzing the photoelastic image. In addition, the result of the calculation of the difference in principal efforts is compared with the results of the finite element, in which a good degree of reliability was obtained in the images used.
publisher Universidad Autónoma de Baja California
publishDate 2021
url https://recit.uabc.mx/index.php/revista/article/view/155
_version_ 1792095344087007232

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