The aim of the doctoral thesis is to exploit the high spatial resolution of mode shapes available when measured with a high-speed camera for efficient and reliable updating of increasingly geometrically complex numerical models.
As part of the doctoral research, studies have been conducted on the generation of a random pattern on the surface using laser light, automatic parameterization of the numerical model, reduction of the influence of relatively noisy parts of the measured mode shapes, and the use of three-dimensional shapes to improve the updating process.
Using laser light, we succeeded in creating a random pattern without changing the surface and use this pattern to identify the full-field mode shapes.
Using the high spatial resolution of the mode shapes, appropriate weighting, and automatic parameterization, we were able to successfully identify local anomalies on the structure.
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