Evidence map›Paper›PMID 37880282›Full record

ArticleScientific reports2023

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

Maria Rosaria Marulli, Giusi Sorrentino, Fabio Menna, Marco Paggi

Abstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Maria Rosaria MarulliIMT School for Advanced Studies Lucca, Piazza San Francesco 19, 55100, Lucca, Italy. mariarosaria.marulli@imtlucca.it.
Giusi SorrentinoDepartment of Physics, University of Turin, Via P. Giuria 1, 10125, Turin, Italy.
Fabio Menna3D Optical Metrology Unit, Bruno Kessler Foundation (FBK), Via Sommarive 18, Povo, 38123, Trento, Italy.
Marco PaggiIMT School for Advanced Studies Lucca, Piazza San Francesco 19, 55100, Lucca, Italy.

Funding

Horizon 2020 754511Ministero dell'Istruzione, dell'Università e della Ricerca D67G22000130001
6 · The paper itself

Abstract

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.

Identifiers

PMID37880282
PMCPMC10600171

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.