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Digital twin models of replicative ground stones: insight into simulating usage of Upper Paleolithic tools

Scientific reports, 2023-10, Vol.13 (1), p.18298-18298, Article 18298 [Peer Reviewed Journal]

The Author(s) 2023. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;Springer Nature Limited 2023 ;ISSN: 2045-2322 ;EISSN: 2045-2322 ;DOI: 10.1038/s41598-023-45425-4 ;PMID: 37880282

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  • Title:
    Digital twin models of replicative ground stones: insight into simulating usage of Upper Paleolithic tools
  • Author: Marulli, Maria Rosaria ; Sorrentino, Giusi ; Menna, Fabio ; Paggi, Marco
  • Subjects: Digital twins ; Mechanical properties
  • Is Part Of: Scientific reports, 2023-10, Vol.13 (1), p.18298-18298, Article 18298
  • Description: This work presents the first attempt to create a physics-based digital twin model for predictive analysis of damage evolution during the use of ground stone tools (GSTs) in transformative tasks, encompassing the processing of raw resources for nutritional and non-alimentary purposes. The proposed methodology introduces a digital twin of the GSTs developed from 3D models generated using a photogrammetric technique based on Structure-from-Motion and Multi-View Stereo reconstruction. These models serve as the foundation for the development of the finite element (FE)-based digital twin model of the GSTs that exploits a contact formulation and the phase-field approach to simulate tool damage during pounding and grinding tasks. Defining the initial relative positions of the stones, their mechanical behaviour, and controlling the movement of the active stone in a way as close as possible to the real one, the digital twin model has been devised to evaluate how the surface damage is affected by perturbations in the loading conditions. The simulated damage is compared with the surface traces observed from experiments. The developed digital twin model aims at demonstrating its potentials for the GSTs investigations, as a supporting tool for experiments and for simulated tests on the archaeological records.
  • Publisher: London: Nature Publishing Group
  • Language: English
  • Identifier: ISSN: 2045-2322
    EISSN: 2045-2322
    DOI: 10.1038/s41598-023-45425-4
    PMID: 37880282
  • Source: PubMed Central
    ProQuest Central
    DOAJ Directory of Open Access Journals
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