• Journal of the Korea Institute of Building Construction
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• v.20 no.3
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• pp.279-287
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• 2020

Recently, the demand for underground-type ammunition storage facilities has increased. Comparing with a ground-type ammunition storage facility, the underground-type ammunition storage facility can decrease the standard of safety distance because fragment and blast wave can be locked in the rock formation. However, the absence of a design method on the underground-type ammunition storage chamber became a major setback for the construction promotion. In this study, the process for designing an overall configuration of the underground-type ammunition storage facility was provided. First, the determination method for configuration and number of the chamber was developed by performing the ammunition storage simulation. Then, a tunnel (i.e., transfer channel for vehicles) and designed chambers can be arranged on the basis of safety distance standard. The safety distance standard also should be considered for determining the location and the size of entrances because of the blast wave and fragment effect at the entrances when an explosion is generated inside a chamber. In addition, considerations on the design for the waterproof and the drainage of subsurface water were analyzed through construction cases. Finally, an example of designing underground-type ammunition storage chambers was provided in order to verify the developed design process.

• Journal of the Korea Institute of Building Construction
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• v.20 no.3
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• pp.253-260
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• 2020

With increasing interest in an underground-type ammunition storage facility, several design results have been provided recently. However, since not only experts in the tunnel but also military persons in charge of ammunition have not fully understood the safety distance standard, reliable design results are not being produced. In this study, the effective design method of an underground-type ammunition storage facility was provided by analyzing the current safety distance standard. First, the critical safety distances that dominate the size of construction site for underground-type ammunition storage facilities were evaluated, which are the layout of chambers and the configuration of the entrances. Then, the decreasing effect of inter-chamber distance was studied according to the rock type and the storage density of ammunition. In addition, the method of designing tunnels with parallel lines and two-floors was considered for arranging more chambers while complying with the safety distance standards. In particular, numerical simulations were carried out to determine the satisfaction of the safety distance standards when an underground-type ammunition storage facility is composed of two-floor and the decreasing effect of inter-chamber distance according to the inner explosive pressure reduction. Finally, the method to adjust the size of entrances and the path of pressure were studied for decreasing the safety distance at the entrance.

• Korean Journal of Construction Engineering and Management
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• v.17 no.4
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• pp.87-94
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• 2016

The necessity to consider stability of underground structures constructed below or adjacent ammunition depots has been increased since the expansion of urban area and construction of infrastructure. However, there are a few studies on influence of accidental explosion on underground structures. In this study, the process of assessing the stability of underground structures is suggested and its applicability is verified through the case study. AUTODYN and SPACECLAIM are used to execute the structure and geotechnical modelling, and explosion effect is simulated and vibration velocities are calculated. According to the result of this case study, it is concluded that underground structure constructed 70m below ground might be rarely influenced by the simulated explosion. The process used in this study could be used to design the underground ammunition complex and analyse the stability of underground facilities being influenced by periodical vibration.

• Convergence Security Journal
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• v.21 no.1
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• pp.191-200
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• 2021

Artificial intelligence technology is developing in an environment where a lot of data is produced due to the development of computing technology, a cloud environment that can store data, and the spread of personal mobile phones. Among these artificial intelligence technologies, the deep neural network provides excellent performance in image recognition and image classification. There have been many studies on image detection for forest fires and fire prevention using such a deep neural network, but studies on detection of cigarette smoking were insufficient. Meanwhile, military units are establishing surveillance systems for various facilities through CCTV, and it is necessary to detect smoking near ammunition stores or non-smoking areas to prevent fires and explosions. In this paper, by reflecting experimentally optimized numerical values such as activation function and learning rate, we did the detection of smoking pictures and non-smoking pictures in two cases. As experimental data, data was constructed by crawling using pictures of smoking and non-smoking published on the Internet, and a machine learning library was used. As a result of the experiment, when the learning rate is 0.004 and the optimization algorithm Adam is used, it can be seen that the accuracy of 93% and F1-score of 94% are obtained.