Recent work has shown that deep convolutional neural network is capable of solving
inverse problems in computational imaging, and recovering the stress field of the loaded …

Data-driven methods have recently been introduced to address complex mechanics
problems. While model-based, data-driven approaches are predominantly used, they often …

Stress field evaluation, through fringe order maps, has always been of great importance in
various engineering domains, providing essential insights into the mechanical response of …

The degree of quality of thermoplastic injection-molded parts can be established based on
their weight, appearance, and defects. However, the conditions of the injection process may …

In this study, the analytical solution of soil stress behind a composite pile and the arch height
of the soil was derived using a mechanical model of a composite pile supporting the …

Featured Application This research has pivotal applications in geotechnical and civil
engineering fields, particularly in improving the reliability and precision of stress and strain …

What makes Total fringe order photoelasticity (TFP) the ideal digital photoelastic technique
for industrial applications is the sufficiency of a single colour isochromatic image for fringe …

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 …

Photoelasticity enables full-field stress analysis in transparent objects through stress-
induced birefringence. Existing techniques are limited to 2D slices and require destructively …

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 …