X-ray computed tomography data structure tensor orientation mapping for finite element models - STXAE
Journal article, 2022
Accurate modelling of fibre-reinforced composites requires anisotropic material models. Structure tensor analysis of X-ray 3D images has been shown to provide fast and robust estimation of local structural orientations in fibre-reinforced composites. We present two mapping algorithms which can be used to map estimated local orientations onto finite element models for more accurate material modelling. The two functions allow for element-wise and integration point-wise mapping, respectively, and have been implemented using Python in a Jupyter notebook. Together with the previously published structure tensor code, these two functions demonstrate the concept of Structure Tensor X-ray computed tomography Aided Engineering (STXAE) (Phonetics: [stekseɪi:]).
X-ray computed tomography
Structure tensor
Orientation mapping finite elements
Material orientation analysis
Author
Robert Auenhammer
Chalmers, Industrial and Materials Science, Material and Computational Mechanics
Niels Jeppesen
Technical University of Denmark (DTU)
Lars Mikkelsen
Technical University of Denmark (DTU)
Vedrana Andersen Dahl
Technical University of Denmark (DTU)
Leif Asp
Chalmers, Industrial and Materials Science, Material and Computational Mechanics
Software Impacts
26659638 (eISSN)
Vol. 11 100216MUltiscale, Multimodal and Multidimensional imaging for EngineeRING (MUMMERING).
European Commission (EC) (EC/H2020/765604), 2019-01-01 -- 2021-12-31.
Subject Categories
Applied Mechanics
Computational Mathematics
Computer Science
Areas of Advance
Materials Science
DOI
10.1016/j.simpa.2021.100216
Related datasets
STXAE - X-ray computed tomography data structure tensor orientation mapping for finite element models [dataset]
DOI: 10.24433/CO.4407802.v1 URI: https://codeocean.com/capsule/3494546/tree/v1