Image Processing Code for Sharpening Photoelastic Fringe Patterns and Its Usage in Determination of Stress Intensity Factors in a Sample Contact Problem

TL;DR

This paper introduces a C-Sharp image processing code to sharpen photoelastic fringe patterns, enabling accurate stress distribution analysis and stress intensity factor determination in contact problems, validated against FEM results.

Contribution

The study develops a novel C-Sharp based image processing algorithm for photoelastic fringe analysis, improving stress measurement accuracy in contact problems.

Findings

The image processing code effectively sharpens fringe patterns.

Results show good agreement with FEM simulations.

The method accurately determines stress intensity factors.

Abstract

This study presented a type of image processing code which is used for sharpening photoelastic fringe patterns of transparent materials in photoelastic experiences to determine the stress distribution. C-Sharp software was utilized for coding the algorithm of this image processing method. For evaluation of this code, the results of a photoelastic experience of a sample contact problem between a half-plane with an oblique edge crack and a tilted wedge using this image processing method was compared with the FEM results of the same problem in order to obtain the stress intensity factors (SIF) of the specimen. A good agreement between experimental results extracted from this method of image processing and computational results was observed.