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An approach to modeling blast and fragment risks from improvised explosive devices

Matthew A. Price, Vinh-Tan Nguyen, Oubay Hassan Orcid Logo, Ken Morgan, Kenneth Morgan Orcid Logo

Applied Mathematical Modelling, Volume: 50, Pages: 715 - 731

Swansea University Authors: Oubay Hassan Orcid Logo, Kenneth Morgan Orcid Logo

Abstract

In this paper, we develop numerical methods for modeling blast and fragments generated from explosive detonation and apply them to scenarios representing improvised explosive devices in confined spaces. The detonation of condensed phase explosives is modeled with a programmed burn method in a three-...

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Published in: Applied Mathematical Modelling
ISSN: 0307904X
Published: 2017
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URI: https://cronfa.swan.ac.uk/Record/cronfa34399
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first_indexed 2017-06-20T20:09:32Z
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spelling 2020-05-28T14:09:48.0467650 v2 34399 2017-06-20 An approach to modeling blast and fragment risks from improvised explosive devices 07479d73eba3773d8904cbfbacc57c5b 0000-0001-7472-3218 Oubay Hassan Oubay Hassan true false 17f3de8936c7f981aea3a832579c5e91 0000-0003-0760-1688 Kenneth Morgan Kenneth Morgan true false 2017-06-20 CIVL In this paper, we develop numerical methods for modeling blast and fragments generated from explosive detonation and apply them to scenarios representing improvised explosive devices in confined spaces. The detonation of condensed phase explosives is modeled with a programmed burn method in a three-dimensional multimaterial flow solver. This solver has been coupled with a Lagrangian particle solver to model the acceleration of explosive-driven fragments. We first simulate an explosion in a long cylindrical tube to validate the fluid solver for a partially-confined blast. We then simulate explosions on a subway train platform for 10 kg and 30 kg C4 charges. The maximum shock overpressure and impulse are used to predict the risk of common blast injuries. To represent improvised explosive threats, we model C4 charges with spherical, cylindrical, and disk shapes that are surrounded by a layer of spherical fragments. We find that the explosive charge shape plays an important role in the acceleration of the spherical fragments. Finally, a realistic scenario of an improvised explosive detonation near a bomb technician is investigated to assess fragment trajectory and blast loads in the near field. Journal Article Applied Mathematical Modelling 50 715 731 0307904X Computational fluid dynamics; Improvised explosives; Detonation; Particles; Fragments; Shock waves 31 12 2017 2017-12-31 10.1016/j.apm.2017.06.015 COLLEGE NANME Civil Engineering COLLEGE CODE CIVL Swansea University 2020-05-28T14:09:48.0467650 2017-06-20T14:29:10.2584492 Faculty of Science and Engineering School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Civil Engineering Matthew A. Price 1 Vinh-Tan Nguyen 2 Oubay Hassan 0000-0001-7472-3218 3 Ken Morgan 4 Kenneth Morgan 0000-0003-0760-1688 5 0034399-20062017143215.pdf price2017.pdf 2017-06-20T14:32:15.2300000 Output 7809200 application/pdf Accepted Manuscript true 2018-06-17T00:00:00.0000000 true eng
title An approach to modeling blast and fragment risks from improvised explosive devices
spellingShingle An approach to modeling blast and fragment risks from improvised explosive devices
Oubay Hassan
Kenneth Morgan
title_short An approach to modeling blast and fragment risks from improvised explosive devices
title_full An approach to modeling blast and fragment risks from improvised explosive devices
title_fullStr An approach to modeling blast and fragment risks from improvised explosive devices
title_full_unstemmed An approach to modeling blast and fragment risks from improvised explosive devices
title_sort An approach to modeling blast and fragment risks from improvised explosive devices
author_id_str_mv 07479d73eba3773d8904cbfbacc57c5b
17f3de8936c7f981aea3a832579c5e91
author_id_fullname_str_mv 07479d73eba3773d8904cbfbacc57c5b_***_Oubay Hassan
17f3de8936c7f981aea3a832579c5e91_***_Kenneth Morgan
author Oubay Hassan
Kenneth Morgan
author2 Matthew A. Price
Vinh-Tan Nguyen
Oubay Hassan
Ken Morgan
Kenneth Morgan
format Journal article
container_title Applied Mathematical Modelling
container_volume 50
container_start_page 715
publishDate 2017
institution Swansea University
issn 0307904X
doi_str_mv 10.1016/j.apm.2017.06.015
college_str Faculty of Science and Engineering
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Civil Engineering{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Civil Engineering
document_store_str 1
active_str 0
description In this paper, we develop numerical methods for modeling blast and fragments generated from explosive detonation and apply them to scenarios representing improvised explosive devices in confined spaces. The detonation of condensed phase explosives is modeled with a programmed burn method in a three-dimensional multimaterial flow solver. This solver has been coupled with a Lagrangian particle solver to model the acceleration of explosive-driven fragments. We first simulate an explosion in a long cylindrical tube to validate the fluid solver for a partially-confined blast. We then simulate explosions on a subway train platform for 10 kg and 30 kg C4 charges. The maximum shock overpressure and impulse are used to predict the risk of common blast injuries. To represent improvised explosive threats, we model C4 charges with spherical, cylindrical, and disk shapes that are surrounded by a layer of spherical fragments. We find that the explosive charge shape plays an important role in the acceleration of the spherical fragments. Finally, a realistic scenario of an improvised explosive detonation near a bomb technician is investigated to assess fragment trajectory and blast loads in the near field.
published_date 2017-12-31T03:42:40Z
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score 11.016683