Citation:
Dessena G, Ignatiev DI, Whidborne JF, Zanotti Fragonata L. (2022) A Kriging approach to model updating for damage detection. In: European Workshop on Structural Health Monitoring. EWSHM 2022. Lecture Notes in Civil Engineering, Volume 254, Cham: Springer, pp. 245-255
Abstract:
For complex or large structures, the model updating process
can be long and tedious and numerical methods can be computationally
expensive. Hence, practitioners and researchers often resort to
meta-modelling techniques when large problems are met. Even so, traditional
methodologies, such as the Efficient Global Optimisation, can
be slow and give sub-optimal results. This work proposes a new methodology
for the model updating of numerical systems based on a novel
Kriging approach for the scope of damage detection and quantification.
The framework proposed is based on a global-local optimisation strategy
recently developed by the authors, the refined Efficient Global Optimisation,
herein used to tweak finite element models’ parameters to match
the modal data extracted from a numerical system by using the residuals
of the modified total modal assurance criterion. The main advantage to
existing direct optimisation and meta-modelling frameworks is the more
efficient use of computational e ort for higher dimensional problems,
which is verified with the use of a numerical system.