A Kriging approach to model updating for damage detection
dc.contributor.author | Dessena, Gabriele | |
dc.contributor.author | Ignatyev, Dmitry I. | |
dc.contributor.author | Whidborne, James F. | |
dc.contributor.author | Zanotti Fragonara, Luca | |
dc.date.accessioned | 2022-06-27T13:30:31Z | |
dc.date.available | 2022-06-27T13:30:31Z | |
dc.date.issued | 2022-06-16 | |
dc.description.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. | en_UK |
dc.identifier.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 | en_UK |
dc.identifier.eisbn | 978-3-031-07258-1 | |
dc.identifier.isbn | 978-3-031-07257-4 | |
dc.identifier.uri | https://doi.org/10.1007/978-3-031-07258-1_26 | |
dc.identifier.uri | https://dspace.lib.cranfield.ac.uk/handle/1826/18090 | |
dc.language.iso | en | en_UK |
dc.publisher | Springer | en_UK |
dc.rights | Use of archived accepted manuscripts (AMs) of non open-access books and chapters are subject to an embargo period and our AM terms of use, which permit users to view, print, copy, download and text and data-mine the content, for the purposes of academic research, subject always to the full conditions of use. Under no circumstances may the AM be shared or distributed under a Creative Commons, or other form of open access license, nor may it be reformatted or enhanced. https://www.springernature.com/gp/open-research/policies/book-policies | |
dc.subject | Kriging | en_UK |
dc.subject | Finite element model | en_UK |
dc.subject | Finite Element Method | en_UK |
dc.subject | Model Updating | en_UK |
dc.subject | Structural Health Monitoring | en_UK |
dc.subject | Modal Analysis | en_UK |
dc.subject | MTMAC | en_UK |
dc.subject | Damage Detection | en_UK |
dc.title | A Kriging approach to model updating for damage detection | en_UK |
dc.type | Book chapter | en_UK |
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