[HTML][HTML] A Review: Non-Contact and Full-Field Strain Mapping Methods for Experimental Mechanics and Structural Health Monitoring

W Meng, SM Bachilo, RB Weisman, S Nagarajaiah - Sensors, 2024 - mdpi.com
Non-contact and full-field strain mapping captures strain across an entire surface, providing
a complete two-dimensional (2D) strain distribution without attachment to sensors. It is an …

PhotoelastNet: a deep convolutional neural network for evaluating the stress field by using a single color photoelasticity image

JC Briñez-de León, M Rico-García… - Applied Optics, 2022 - opg.optica.org
Quantifying the stress field induced into a piece when it is loaded is important for
engineering areas since it allows the possibility to characterize mechanical behaviors and …

Computational analysis of Bayer colour filter arrays and demosaicking algorithms in digital photoelasticity

JC Briñez-de León, A Restrepo-Martínez… - Optics and Lasers in …, 2019 - Elsevier
Digital photoelasticity often evaluates the stress fields in loaded structures by processing the
colour intensities recorded in digital images. This makes the evaluation process sensitive to …

Isochromatic-Art: A Computational Dataset for Digital Photoelasticity Studies

JC Briñez-De-Leon, M Rico-Garcia… - Data, 2022 - mdpi.com
The importance of evaluating the stress field of loaded structures lies in the need for
identifying the forces which make them fail, redesigning their geometry to increase the …

Accuracy improvement of demodulating the stress field with StressUnet in photoelasticity

W Zhao, G Zhang, J Li - Applied Optics, 2022 - opg.optica.org
Evaluating the stress field based on photoelasticity is of vital significance in engineering
fields. To achieve the goal of efficiently demodulating stress distribution and to overcome the …

Fringe pattern analysis to evaluate light sources and sensors in digital photoelasticity

H Fandiño-Toro, Y Aristizábal-López… - Applied Optics, 2023 - opg.optica.org
When experimental photoelasticity images are acquired, the spectral interaction between
the light source and the sensor used affect the visual information of the fringe patterns in the …

StressNet: A deep convolutional neural network for recovering the stress field from isochromatic images

JCB de León, M Rico-Garcia… - … of Digital Image …, 2020 - spiedigitallibrary.org
Extending photoelasticity studies to industrial applications is a complex process generally
limited by the image acquisition assembly and the computational methods for demodulating …

Generalized adversarial networks for stress field recovering processes from photoelasticity images

JCB de León, RD Fonnegra-Tarazona… - … of Digital Image …, 2020 - spiedigitallibrary.org
For overcoming conventional photoelasticity limitations when evaluating the stress field in
loaded bodies, this paper proposes a Generative Adversarial Network (GAN) while …

Método para la determinacion del campo de esfuerzos bajo la influencia de esfuerzos residuales por medio de la tecnica híbrida de fotoelasticidad y termografia.

J Rendón Arango - 2022 - repositorio.itm.edu.co
El estudio de los esfuerzos residuales ha sido materia de investigación debido al efecto que
producen sobre el estado de esfuerzos y la integridad operacional de diferentes productos …

A dynamic characterization of thermal stimulation for residual stresses using digital photoelasticity

JR Arango, HF Toro, JB de León… - Optics and Photonics …, 2021 - spiedigitallibrary.org
Evaluation of residual and thermal stresses using temporal analysis of color in
photoelasticity images was applied to three discs with residual stresses in different zones …