Model updating from full field optical experimental datasets

Are optical measurements and high spatial dense datasets effective in advanced model updating of lightweight structures with complex structural dynamics? The generally accepted reference in measuring vibration patterns with high spatial definition might be the Laser Doppler Velocimetry, with it?s scanning variances, but also with the noise shown in the raw signal of some experiments, which poses issues in proficiently exploiting the added data in a fruitful model updating procedure. Instead, native full field measuring technologies like Hi-Speed DIC and dynamic ESPI have shown recently intrinsic smoother data fields due to their image-based nature and evaluation algorithms, promising benefits on model optimisations. In this paper, in the framework of established procedures for model updating of dynamically excited structures, a comparison is made by means of all the cited challenging technologies on the same broad band vibration measurement problem, with different spatial resolution and quality of the measured patterns. Model updating results are compared between scanning and native full field technologies, with comments and details on the test rig, on the advantages and drawbacks of the approaches.