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Image‐based isogeometric twins of lattices with virtual image correlation for varying cross‐section beams

Passieux, Jean‐Charles ; Bouclier, Robin ; Weeger, Oliver (2023)
Image‐based isogeometric twins of lattices with virtual image correlation for varying cross‐section beams.
In: International Journal for Numerical Methods in Engineering
doi: 10.26083/tuprints-00023180
Article, Secondary publication, Postprint

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Item Type: Article
Type of entry: Secondary publication
Title: Image‐based isogeometric twins of lattices with virtual image correlation for varying cross‐section beams
Language: English
Date: 8 February 2023
Place of Publication: Darmstadt
Publisher: Wiley
Journal or Publication Title: International Journal for Numerical Methods in Engineering
Collation: 26 Seiten
DOI: 10.26083/tuprints-00023180
Corresponding Links:
Origin: Secondary publication service
Abstract:

Cellular materials, in particular metal or polymer foams and beam lattices, are characterized by a complex architecture where the material is concentrated in slender struts. This study is concerned with the construction of numerically efficient sample-specific digital twin for the analysis and characterization of the mechanical behavior of such meta-materials. A method to build an explicit, light, and analysis-suitable isogeometric beam model directly from digital images is proposed. More precisely, as a main contribution, the virtual image correlation method is extended to the case of multiple interconnected beams with varying cross-sections. Special care is also given to the initialization for better efficiency and robustness. Synthetic and real examples of increasing complexity, that is, curved beams, lattices, and foams, are presented to account for the performance of the developed workflow from digital images to an isogeometric twin for mechanical modeling and simulation.

Uncontrolled Keywords: cellular materials, digital twin, image-based models, isogeometric analysis, lattices
Status: Postprint
URN: urn:nbn:de:tuda-tuprints-231807
Classification DDC: 000 Generalities, computers, information > 004 Computer science
500 Science and mathematics > 510 Mathematics
600 Technology, medicine, applied sciences > 620 Engineering and machine engineering
Divisions: 16 Department of Mechanical Engineering > Cyber-Physical Simulation (CPS)
Date Deposited: 08 Feb 2023 13:31
Last Modified: 04 Feb 2024 00:04
URI: https://tuprints.ulb.tu-darmstadt.de/id/eprint/23180
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