SUN-DIC：基于python的开源数字图像相关软件工具

IF 5.7 2区工程技术 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Advances in Engineering Software Pub Date : 2025-10-14 DOI:10.1016/j.advengsoft.2025.104043

Gerhard Venter, Melody Neaves

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引用次数: 0

摘要

数字图像相关（DIC）是一种强大的非接触式光学技术，用于测量位移和应变场。虽然存在商业工具，但它们的高成本和缺乏灵活性可能阻碍创新和可及性。本文介绍SUN-DIC，这是一个基于python的开源DIC工具，具有可扩展性、清晰度和易用性。我们概述了理论基础并描述了软件体系结构。通过选定的示例演示了SUN-DIC的实用程序，并成功地针对DIC Challenge 2.0进行了2D分析的基准测试。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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SUN-DIC: A Python-based open-source software tool for Digital Image Correlation

Digital Image Correlation (DIC) is a powerful non-contact optical technique used to measure displacement and strain fields. While commercial tools exist, their high cost and lack of flexibility can hinder innovation and accessibility. This paper introduces SUN-DIC, a Python-based open-source DIC tool designed for extensibility, clarity, and ease of use. We outline the theoretical foundations and describe the software architecture. SUN-DIC’s utility is demonstrated through selected examples and the code is successfully benchmarked against the DIC Challenge 2.0 for 2D analyses.

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来源期刊

Advances in Engineering Software 工程技术-计算机：跨学科应用

CiteScore

7.70

自引率

4.20%

发文量

169

审稿时长

37 days

期刊介绍： The objective of this journal is to communicate recent and projected advances in computer-based engineering techniques. The fields covered include mechanical, aerospace, civil and environmental engineering, with an emphasis on research and development leading to practical problem-solving. The scope of the journal includes: • Innovative computational strategies and numerical algorithms for large-scale engineering problems • Analysis and simulation techniques and systems • Model and mesh generation • Control of the accuracy, stability and efficiency of computational process • Exploitation of new computing environments (eg distributed hetergeneous and collaborative computing) • Advanced visualization techniques, virtual environments and prototyping • Applications of AI, knowledge-based systems, computational intelligence, including fuzzy logic, neural networks and evolutionary computations • Application of object-oriented technology to engineering problems • Intelligent human computer interfaces • Design automation, multidisciplinary design and optimization • CAD, CAE and integrated process and product development systems • Quality and reliability.