An open-source tool for the validation of finite element models using three-dimensional full-field measurements
| Autor: | Stephen J. Mellon, Manfred Staat, Alexander Abel, Stephanie L. Kahmann, Alexander Jung |
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| Rok vydání: | 2020 |
| Předmět: |
Optimization problem
Basis (linear algebra) Computer science Finite Element Analysis 0206 medical engineering Coordinate system Biomedical Engineering Biophysics Reproducibility of Results Initialization Iterative closest point 02 engineering and technology 020601 biomedical engineering Finite element method 03 medical and health sciences 0302 clinical medicine Local optimum Global optimization Algorithm Algorithms Software 030217 neurology & neurosurgery |
| Zdroj: | Medical Engineering & Physics. 77:125-129 |
| ISSN: | 1350-4533 |
| DOI: | 10.1016/j.medengphy.2019.10.015 |
| Popis: | Three-dimensional (3D) full-field measurements provide a comprehensive and accurate validation of finite element (FE) models. For the validation, the result of the model and measurements are compared based on two respective point-sets and this requires the point-sets to be registered in one coordinate system. Point-set registration is a non-convex optimization problem that has widely been solved by the ordinary iterative closest point algorithm. However, this approach necessitates a good initialization without which it easily returns a local optimum, i.e. an erroneous registration. The globally optimal iterative closest point (Go-ICP) algorithm has overcome this drawback and forms the basis for the presented open-source tool that can be used for the validation of FE models using 3D full-field measurements. The capability of the tool is demonstrated using an application example from the field of biomechanics. Methodological problems that arise in real-world data and the respective implemented solution approaches are discussed. |
| Databáze: | OpenAIRE |
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