Experimental fragmentation of pipe bombs with varying case thickness.

Forensic science Fragmentation Pipe bombs

Journal

Forensic science international
ISSN: 1872-6283
Titre abrégé: Forensic Sci Int
Pays: Ireland
ID NLM: 7902034

Informations de publication

Date de publication:
Jan 2020
Historique:
received: 03 05 2019
revised: 01 09 2019
accepted: 29 10 2019
pubmed: 14 12 2019
medline: 14 12 2019
entrez: 14 12 2019
Statut: ppublish

Résumé

Among all the improvised explosive devices (IEDs) known, pipe bombs are one of the most popular devices used by terrorists. They are simple to use, easy to construct and materials are readily available. For this IED, fragmentation is the primary injury mechanism, which makes them a desirable weapon for terrorists aiming to inflict maximum human casualties. Although the investigation of fragmentation pattern is not novel, there is limited data available on pipe bombs performance in the open literature. Therefore, this research is looking at validating results in current literature, which showed limited repetition and weak experimental design so far; by trial with six pipe bombs with two different thickness (3 of each). The pipe bombs consisted of mild steel casing and aluminised ammonium nitrate as the explosive filler. Fragments were collected, with an average recovery of 72%, and measured regarding mass and velocity. The experiment results show a correlation between the pipe thickness and both the size and velocity of fragments.

Identifiants

pubmed: 31835160
pii: S0379-0738(19)30446-3
doi: 10.1016/j.forsciint.2019.110034
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

110034

Informations de copyright

Copyright © 2019. Published by Elsevier B.V.

Auteurs

Luciana A da Silva (LA)

Department of Defence and Security, Cranfield University, Shrivenham, SN6 8LA, United Kingdom.

Steve Johnson (S)

Department of Defence and Security, Cranfield University, Shrivenham, SN6 8LA, United Kingdom. Electronic address: steve_johnson824@yahoo.co.uk.

Richard Critchley (R)

Department of Defence and Security, Cranfield University, Shrivenham, SN6 8LA, United Kingdom.

Jim Clements (J)

Department of Defence and Security, Cranfield University, Shrivenham, SN6 8LA, United Kingdom.

Karl Norris (K)

Department of Defence and Security, Cranfield University, Shrivenham, SN6 8LA, United Kingdom.

Chris Stennett (C)

Department of Defence and Security, Cranfield University, Shrivenham, SN6 8LA, United Kingdom.

Classifications MeSH