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Statistical volume element generation for paperboard based on X-ray computer tomography images

Boman, G. LU ; Starkenberg, S. ; Wennerholm, S. ; Wallin, M. LU ; Borgqvist, E. LU ; Bergvall, E. and Ristinmaa, M. LU orcid (2025) In International Journal of Solids and Structures 320.
Abstract

The macroscopic response governed by a statistical volume element, generated from 3D X-ray computer tomography images of paperboard, is explored. The statistical volume element, which consists of fibres and void, is derived from X-ray computer tomography images. Two filters for computing intensity fields and intensity gradients have been implemented and compared. Using an intensity threshold, the fibres are identified. The intensity gradient is used to identify the structural tensors, which define the fibre orientations. A finite element model is established using the voxel structure from the X-ray computer tomography images. Fibres are modelled as a transversely isotropic elasto-plastic material, where use is made of the identified... (More)

The macroscopic response governed by a statistical volume element, generated from 3D X-ray computer tomography images of paperboard, is explored. The statistical volume element, which consists of fibres and void, is derived from X-ray computer tomography images. Two filters for computing intensity fields and intensity gradients have been implemented and compared. Using an intensity threshold, the fibres are identified. The intensity gradient is used to identify the structural tensors, which define the fibre orientations. A finite element model is established using the voxel structure from the X-ray computer tomography images. Fibres are modelled as a transversely isotropic elasto-plastic material, where use is made of the identified structural tensors. From finite element simulations of statistical volume elements, calibrated against macroscopic uniaxial responses, the elasto-plastic fibre properties are identified, and the stress distribution in the volume element is analysed. A study on the dimensions of the volume element is also conducted.

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author
; ; ; ; ; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Computer tomography, Fibre orientation, Fibres, Paperboard, Statistical volume element
in
International Journal of Solids and Structures
volume
320
article number
113446
publisher
Elsevier
external identifiers
  • scopus:105007057893
ISSN
0020-7683
DOI
10.1016/j.ijsolstr.2025.113446
language
English
LU publication?
yes
id
73f9ba16-db1e-440b-8015-6a9779e9be4c
date added to LUP
2025-07-16 09:27:39
date last changed
2025-07-16 09:28:53
@article{73f9ba16-db1e-440b-8015-6a9779e9be4c,
  abstract     = {{<p>The macroscopic response governed by a statistical volume element, generated from 3D X-ray computer tomography images of paperboard, is explored. The statistical volume element, which consists of fibres and void, is derived from X-ray computer tomography images. Two filters for computing intensity fields and intensity gradients have been implemented and compared. Using an intensity threshold, the fibres are identified. The intensity gradient is used to identify the structural tensors, which define the fibre orientations. A finite element model is established using the voxel structure from the X-ray computer tomography images. Fibres are modelled as a transversely isotropic elasto-plastic material, where use is made of the identified structural tensors. From finite element simulations of statistical volume elements, calibrated against macroscopic uniaxial responses, the elasto-plastic fibre properties are identified, and the stress distribution in the volume element is analysed. A study on the dimensions of the volume element is also conducted.</p>}},
  author       = {{Boman, G. and Starkenberg, S. and Wennerholm, S. and Wallin, M. and Borgqvist, E. and Bergvall, E. and Ristinmaa, M.}},
  issn         = {{0020-7683}},
  keywords     = {{Computer tomography; Fibre orientation; Fibres; Paperboard; Statistical volume element}},
  language     = {{eng}},
  publisher    = {{Elsevier}},
  series       = {{International Journal of Solids and Structures}},
  title        = {{Statistical volume element generation for paperboard based on X-ray computer tomography images}},
  url          = {{http://dx.doi.org/10.1016/j.ijsolstr.2025.113446}},
  doi          = {{10.1016/j.ijsolstr.2025.113446}},
  volume       = {{320}},
  year         = {{2025}},
}