Published November 2021 | Version v1
Journal article

Casualty Risks Induced by Primary Fragmentation Hazards from High-explosive munitions

  • 1. Centre for Infrastructure Performance and Reliability, The University of Newcastle, New South Wales, 2308 (Australia)

Description

Highlights: • New stochastic model for casualty risks to fragmentation hazard. • Probabilistic models of fragment generation, trajectories, and human vulnerability. • Numerical simulations for fragment densities and casualty risks. • Safety evacuation distance obtained based on the casualty risks. Fatalities and injuries are mainly attributed to primary fragmentation if accidental or malevolent detonation of high-explosive munitions occurs in an open space. This study aims to develop a simulation-based approach to assess individual casualty risks from primary fragments naturally generated by detonation of high-explosive munitions, which enables a stochastic characterization of fragment generation, trajectories, modelling uncertainties, and human vulnerability. The proposed method is demonstrated by a numerical example estimating the fatality and injury risks for an individual in a standing position exposed to the detonation of a single 105 mm projectile. The results suggest that, as expected, the individual fatality and injury risks decrease with an increasing stand-off distance. At a stand-off distance greater than 40 m, an individual is more likely to suffer injuries rather than fatality. The safety distance obtained from the present study is 97 m which is close to but less conservative than a safety distance of 104 m in existing literature and standards.

Availability note (English)

Available from http://dx.doi.org/10.1016/j.ress.2021.107874

Additional details

Identifiers

DOI
10.1016/j.ress.2021.107874;
PII
S0951832021003938;

Publishing Information

Journal Title
Reliability Engineering and System Safety
Journal Volume
215
Journal Page Range
vp.
ISSN
0951-8320
CODEN
RESSEP

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
54018622
Subject category
S97: MATHEMATICAL METHODS AND COMPUTING; S42: ENGINEERING;
Descriptors DEI
CHEMICAL EXPLOSIVES; COMPUTERIZED SIMULATION; DENSITY; FRAGMENTATION; MILITARY EQUIPMENT; OCCUPATIONAL SAFETY; PROBABILISTIC ESTIMATION; STOCHASTIC PROCESSES; VULNERABILITY
Descriptors DEC
CALCULATION METHODS; EQUIPMENT; EXPLOSIVES; PHYSICAL PROPERTIES; SAFETY; SIMULATION

Optional Information

Copyright
Copyright (c) 2021 Elsevier Ltd. All rights reserved.