Casualty Risks Induced by Primary Fragmentation Hazards from High-explosive munitions
Creators
- 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.2021.107874Additional 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.