<rss xmlns:atom="http://www.w3.org/2005/Atom" version="2.0"><channel><title>Digital Image Correlation - Category - Jorgen Bergstrom</title><link>https://bergstrom.org/categories/digital-image-correlation/</link><description>Digital Image Correlation - Category - Jorgen Bergstrom</description><generator>Hugo -- gohugo.io</generator><language>en-us</language><copyright>Jorgen Bergstrom</copyright><lastBuildDate>Wed, 21 Oct 2026 00:00:00 -0500</lastBuildDate><atom:link href="https://bergstrom.org/categories/digital-image-correlation/" rel="self" type="application/rss+xml"/><item><title>2D Digital Image Correlation, Driven by Natural Language</title><link>https://bergstrom.org/posts/dic_llm_agent/</link><pubDate>Wed, 21 Oct 2026 00:00:00 -0500</pubDate><author>Jorgen Bergstrom</author><guid>https://bergstrom.org/posts/dic_llm_agent/</guid><description>Introduction When performing uniaxial tension experiments for material characterization it is useful to not only record the applied force and displacement as a function of time, but also apply a speckle pattern on the specimen and take photos at regular time intervals during the test. These images can then be post-processed to better understand the deformation and strain fields in the specimen during the test. This type of image analysis is called Digital Image Correlation (DIC).</description></item></channel></rss>