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Static penetration assessment of stone weapon tip geometry metrics and comparison of static and dynamic penetration depths

Bibliographic Data

ID8354535
AuthorsJase Sitton (Department of Civil and Environmental Engineering, Lyle School of Engineering Southern Methodist University Dallas Texas USA), Jase D Sitton (0000-0001-9464-7611, Southern Methodist University), Christopher Stenzel (Department of Civil and Environmental Engineering, Lyle School of Engineering Southern Methodist University Dallas Texas USA), Briggs Buchanan (0000-0002-5684-9615, Department of Anthropology University of Tulsa Tulsa Oklahoma USA, corresponding author), M I Eren (0000-0003-3576-6076, Department of Anthropology Kent State University Kent Ohio USA, corresponding author), Brett Story (0000-0002-9851-7790, Department of Civil and Environmental Engineering, Lyle School of Engineering Southern Methodist University Dallas Texas USA, corresponding author)
Year2023
Volume65
Issue3
Pages463-479
Publication date2023-06-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueArchaeometry (JOURNAL)
Journal identifiersISSN: 0003-813X • E-ISSN: 1475-4754
PublisherWiley (PUBLISHER • GB)
DOI10.1111/arcm.12841
OpenAlexW4307887896
LanguageEN
Citations received11
References cited63

Many factors governed the penetration efficacy of prehistoric projectile weaponry. Archaeologists broadly focus their efforts on understanding the effect of stone weapon tips because these specimens are often the only part of the weapon system that survives in the archaeological record. The tip cross‐sectional area (TCSA) and perimeter (TCSP) of stone weapon tips have been shown to correlate with target penetration depth. Here, using results from both static and dynamic penetration testing, we compare TCSA and TCSP against other tip geometry metrics: lateral surface area (LSA) and volume (V). Our analyses broadly show that using a single‐point geometry metric evaluated at multiple locations along the length of the point, or using multiple geometry metrics evaluated at a single location, better predicts required energy than using a single‐point geometry metric evaluated at a single location. Our results also show that in the case where a single geometry metric evaluated at multiple locations is used LSA provided the most robust prediction models. Finally, our results show that for the case where all geometry metrics evaluated at a single location are used the location that provides the most robust prediction model is dependent on how far the point penetrated the target

Geometry · Metric (unit) · Operations research · Optics · Penetration (warfare) · Penetration depth · Physics · Projectile · Projectile point · Archaeology and ancient environmental studies · Computer Science · Engineering · Forensic Anthropology and Bioarchaeology Studies · Geology · Mathematics · Metallurgy and Cultural Artifacts

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Unique citing works11
Citations per year3,67
Citation span2023 - 2026 (4)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 10

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