动态调整相机帧率，让变形检测更高效、数据更丰富。
In-situ On-demand Digital Image Correlation: A New Data-rich Characterization Paradigm for Deformation and Damage Development in Solids
- 根据变形程度实时调节相机帧率，小变形低速拍，大变形高速拍。
- 相比传统方法，裂纹扩展时多采集178%图像，数据更密集。
- 适合需要高精度损伤分析的材料实验，尤其擅长捕捉突发变形。
数字图像相关（DIC）是实验力学中广泛应用的变形表征方法，依赖试验过程中获取的光学图像及事后图像处理。其优势包括非接触式全场变形测量、对屈服和开裂等大变形事件的鲁棒性，以及可与多种开源和商业代码集成的灵活性。本文提出一种新型DIC分析范式——原位按需（ISOD）DIC，将相机控制整合进DIC流程。核心思路是在大变形或高变形速率时动态提升相机帧率，而在小变形慢变化时维持较低帧率。ISOD DIC实现了实时变形分析、可视化与闭环相机控制。在裂纹扩展样品中，相比传统DIC，ISOD DIC捕获了约178%更多的图像，显著提升损伤检测的数据丰富度，同时避免过度占用存储空间与分析时间，有助于更精准揭示本构行为与损伤机理。
原文摘要 · Abstract (English)
Digital image correlation (DIC) has become one of the most popular methods for deformation characterization in experimental mechanics. DIC is based on optical images taken during experimentation and post-test image processing. Its advantages include the capability to capture full-field deformation in a non-contact manner, the robustness in characterizing excessive deformation induced by events such as yielding and cracking, and the versatility to integrate optical cameras with a variety of open-source and commercial codes. In this paper, we developed a new paradigm of DIC analysis by integrating camera control into the DIC process flow. The essential idea is to dynamically increase the camera imaging frame rate with excessive deformation or deformation rate, while maintaining a relatively low imaging frame rate with small and slow deformation. We refer to this new DIC paradigm as in-situ on-demand (ISOD) DIC. ISOD DIC enables real-time deformation analysis, visualization, and closed-loop camera control. ISOD DIC has captured approximately 178% more images than conventional DIC for samples undergoing crack growth due to its dynamically adjusted frame rate, with the potential to significantly enhance data richness for damage inspection without consuming excessive storage space and analysis time, thereby benefiting the characterization of intrinsic constitutive behaviors and damage mechanisms
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