Background: most methods of uncertainty quantification for digital image correlation are orientated towards the research environment and it remains difficult to quantify all of the uncertainty introduced along the measurement chain in an industrial environment. This gap in capability can become critical when physical tests are required for certification purposes. Objective: To develop and demonstrate an uncertainty quantification method that was independent of a specific DIC system, easily integrated with the measurement workflow, applicable at the measurement location and capable of capturing the contributions from all sources of uncertainty. Methods: an elegant new method utilises the calibration target, commonly used with DIC systems to evaluate their intrinsic and extrinsic parameters, through reference measurements before and after relative motion between the measurement system and the object of interest. The method is described and demonstrated for quantifying the field of uncertainty associated with maps of displacement and deformation in a large-scale industrial component. Results: The fields of uncertainty associated with measurements, using stereoscopic DIC, of x-, y- and z- displacement components during a compression buckling test on an aircraft fuselage panel are presented. The derived uncertainty has independently been corroborated along one axis by moving a calibrated translation stage. Conclusions: A new method has been proposed that allows the quantification of the fields of uncertainty arising from all sources when DIC measurements are performed on a large-scale object of interest in an industrial environment. The method requires no additional equipment and can be readily included in the workflow of a measurement campaign.

背景技术：大多数用于数字图像相关性的不确定性量化方法都面向研究环境，并且很难量化在工业环境中沿着测量链引入的所有不确定性。当出于认证目的需要进行物理测试时，这种能力上的差距可能变得至关重要。目的：开发和演示一种不确定性量化方法，该方法独立于特定的DIC系统，可以轻松地与测量工作流程集成，适用于测量位置，并且能够捕获所有不确定性来源的影响。方法：一种优雅的新方法利用了DIC系统常用的校准目标来评估其内在和外在参数，通过测量系统和感兴趣对象之间的相对运动之前和之后的参考测量。描述并演示了该方法，用于量化与大型工业组件中的位移和变形图相关的不确定性区域。结果：展示了在飞机机身板上进行压缩屈曲测试期间，使用立体DIC测量x，y和z位移分量的不确定性领域。通过移动校准平移台，沿一个轴独立地确认了所得出的不确定性。结论：已经提出了一种新方法，当在工业环境中对大型目标物体进行DIC测量时，可以量化所有来源引起的不确定性领域。