X-ray computed tomography data structure tensor orientation mapping for finite element models - STXAE
Artikel i vetenskaplig tidskrift, 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

Författare

Robert Auenhammer

Chalmers, Industri- och materialvetenskap, Material- och beräkningsmekanik

Niels Jeppesen

Danmarks Tekniske Universitet (DTU)

Lars Mikkelsen

Danmarks Tekniske Universitet (DTU)

Vedrana Andersen Dahl

Danmarks Tekniske Universitet (DTU)

Leif Asp

Chalmers, Industri- och materialvetenskap, Material- och beräkningsmekanik

Software Impacts

2665-9638 (ISSN)

Vol. 11 100216

MUltiscale, Multimodal and Multidimensional imaging for EngineeRING (MUMMERING).

Europeiska kommissionen (EU) (EC/H2020/765604), 2019-01-01 -- 2021-12-31.

Ämneskategorier

Teknisk mekanik

Beräkningsmatematik

Datavetenskap (datalogi)

Styrkeområden

Materialvetenskap

DOI

10.1016/j.simpa.2021.100216

Relaterade dataset

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

Mer information

Senast uppdaterat

2022-02-25