First, the sources of errors related to testing and post-processing, that can and must be mitigated by the user to make displacement measurements more reliable. These sources could be divided in two types. In this article, we will introduce the various sources of these errors (bias and uncertainty) that can affect measurements by digital image correlation. For more details about bias, uncertainty and the way to quantify them, check out the dedicated article on our blog. These errors can be classified in two categories: the bias corresponding to systematic errors and the uncertainty corresponding to random errors. Indeed, errors need to be estimated for every new test. The characteristic of this method lies in the direct dependency between the test and the measurement error. In digital image correlation as in any measurement process, errors affect measured data. By Clara Minguet, Research engineer at EikoSim.
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