An open-source tool for the validation of finite element models using three-dimensional full-field measurements. Abel, A., Kahmann, S., L., Mellon, S., Staat, M., & Jung, A. Medical Engineering & Physics, 77:125-129, 1, 2020. ![An open-source tool for the validation of finite element models using three-dimensional full-field measurements [link]](https://bibbase.org/img/filetypes/link.svg "link")
Website doi abstract bibtex 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.
@article{
title = {An open-source tool for the validation of finite element models using three-dimensional full-field measurements},
type = {article},
year = {2020},
keywords = {3D point-set registration,Biomechanics,Digital image correlation (DIC),Global optimization,Synthetic bone},
pages = {125-129},
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abstract = {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.},
bibtype = {article},
author = {Abel, Alexander and Kahmann, Stephanie L. and Mellon, Stephen and Staat, Manfred and Jung, Alexander},
doi = {10.1016/j.medengphy.2019.10.015},
journal = {Medical Engineering & Physics}
}
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