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Development of a simplified computational model to study cranial backspatter using SPH

conference contribution
posted on 2024-10-31, 20:46 authored by E. Kwon, A. Malhotra, Rajarshi DasRajarshi Das, Justin Fernandez, Michael Taylor
Investigation of crime requires rigorous testing and sound scientific understanding of the evidence to assist with the reconstruction of the criminal event. From the multitude of forensic specializations, bloodstain pattern analysis evidence from cranial gunshot wounding is of particular interest because of the high mortality rate resulting from head wounding compared to other body parts. Traditionally, animal models and physical models of the human anatomy have been used to study the mechanism and extent of ballistic spatter, including backspatter. Backspatter is a retrograde spattering of the target material from the entry wound. The reverse directionality of backspatter has specific evidential value, as it may establish a link between the victim and the shooter via transfer of biological matter. Backspatter evidence has also been used in courts to distinguish between a homicide and a suicide. Despite the importance of backspatter, the understanding of its mechanism has remained inadequate due to ethical issues, difference in anatomical geometry associated with various animal samples, or material property difference among biological and synthetic materials used in physical models. Hence there is a need to develop simulation tools that will use computational models of cranium geometry and configurations relatively similar to those of humans. Such computational models can act as alternatives to animal or physical models for the investigation of backspatter in a variety of situations.

History

Start page

809

End page

815

Total pages

7

Outlet

Proceedings of the 6th International Conference on Computational Methods (ICCM 2015)

Editors

G. R. Liu and Raj Das

Name of conference

ICCM 2015

Publisher

Scientech

Place published

United States

Start date

2015-07-14

End date

2015-07-17

Language

English

Copyright

© 2015 This work is licensed under a Creative Commons Attribution 3.0 License.

Former Identifier

2006074402

Esploro creation date

2020-06-22

Fedora creation date

2019-03-26

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