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Digital holographic photoelasticity

Applied Optics, 2017
A new technique using digital holography to study the photoelastic isochromatic and isopachic fringes and their respective phases is reported. Our detailed theoretical and experimental analysis shows the possibility of whole-field analysis of every section of stressed photoelastic materials.
C S, Narayanamurthy   +2 more
openaire   +3 more sources

Photoelasticity

Optical Methods of Measurement, 2018
Rajpal S. Sirohi
openaire   +2 more sources

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

Applied Optics, 2022
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 fails caused by stress.
J. B. Briñez-de León   +2 more
semanticscholar   +1 more source

Dichroic Photoelasticity in Black Phosphorus Revealed by Ultrafast Coherent Phonon Dynamics.

Journal of Physical Chemistry Letters, 2021
Coherent longitudinal lattice vibrations of black phosphorus provide unique access to the out-of-plane strain coupled in-plane optical properties. In this work, polarization-resolved femtosecond transient absorption microscopy is applied to study the ...
Simin Wu   +8 more
semanticscholar   +1 more source

Nonlinear photoelasticity of rubber-like soft materials: comparison between theory and experiment.

Soft Matter, 2021
Photoelasticity often refers to the birefringence effect of materials induced by elastic deformation. Recently, many experiments on the photoelasticity of soft materials have been reported.
Danqi Sun, Tongqing Lu, Tiejun Wang
semanticscholar   +1 more source

Experimental study of dry stone masonry walls using digital reflection photoelasticity

Strain, 2020
Response of dry stack stone masonry walls under mechanical loading is complex and difficult to determine, mainly due to heterogeneous and discrete nature of the components of the stone wall.
Pankaj Kumar   +3 more
semanticscholar   +1 more source

Generalized adversarial networks for stress field recovering processes from photoelasticity images

Optical Engineering + Applications, 2020
For overcoming conventional photoelasticity limitations when evaluating the stress field in loaded bodies, this paper proposes a Generative Adversarial Network (GAN) while maintaining performance, gaining experimental stability, and shorting time ...
J. C. Briñez de León   +2 more
semanticscholar   +1 more source

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