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 100216

MUltiscale, 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

More information

Latest update

4/21/2023