【摘要】 由于大变形场下图像去相关效应的影响，数字图像相关（Digital image correlation,DIC）始终无法完成图像间的并行计算。为了突破这一瓶颈，本文提出了一种基于Accelerated-KAZE(AKAZE)的参考图更新方法，可在DIC正式计算之前完成参考图更新工作，为并行计算提供独立数据。并构建了一种图形处理器（Graphics processing unit,GPU）并行计算架构，可对所有子区独立估值，完成图像间和子区间的并行计算。最后对丁腈橡胶进行了拉伸测试，结果表明相比于传统的串行DIC计算方法，运用本文的并行方法速度可提升两个数量级。更多还原

【Abstract】 Due to the effect of image decorrelation under large deformation fields, digital image correlation(DIC) has never been able to complete parallel computation between images. In order to break through this bottleneck, this paper proposes an accelerated-KAZE(AKAZE)-based reference image update method, which can complete the reference image update before DIC is officially calculated, and provide independent data for parallel computing. A graphics processing unit(GPU) parallel computing architecture is constructed, which can independently estimate all subsizes and complete the parallel computation between images and subsizes. Finally, tensile tests are performed on the nitrile butadiene rubber(NBR), and the results show that compared with the traditional serial DIC calculation method, the proposed parallel method can be increased by two orders of magnitude.更多还原