Using Gabions to Protect Oil Storage Facilities from Damage




gabion, debris scattering, risk of damage, dynamics of debris movement, numerical modeling


Purpose. During a drone explosion, debris is generated that poses a risk of damage to both humans and objects at an industrial site. Therefore, the main purpose of this study is to evaluate the effectiveness of using gabions with different fillers to reduce the risk of damage to the wall of an oil storage facility by debris generated during a drone explosion at an industrial site, as well as to analyze the value of the out-of-band velocity of the debris. Methodology. A numerical model based on the integration of the equation of motion of a material point was used to analyze the effectiveness of using gabions as protective structures of an oil storage facility during the flying of drone debris. The equations of motion of the debris are based on Newton's second law. This approach makes it possible to determine the unobstructed velocity of the fragment after passing the body of the protective barrier - the gabion. The developed numerical model takes into account the initial velocity of the fragment, its size, direction of movement, ejection height, and the material that fills the gabion body. On the basis of this numerical model, a computer program was created to conduct a computational experiment. Findings. An effective tool has been developed to analyze the risk of damage to the oil storage facility from the metallic impact of debris generated in the event of a drone explosion and to analyze the effectiveness of gabions. The results of computational experiments are presented. Originality. A fast-calculating numerical model has been built for the operational analysis of the efficiency of using gabions with different contents, which are used to protect an oil storage facility at an industrial site from the missile impact of debris generated by a drone explosion. Practical value. A computer program has been developed to calculate the dynamics of debris movement in the air and in the body of the gabion. The use of this program makes it possible to select the rational dimensions of a protective barrier - gabion at an industrial site to protect an oil storage facility from damage.


Basmanov, А. Ye., & Govalenkov, S. S. (2010). The concentration of hazardous chemicals in the air at a contin-uous activity of the source. Problems of Emergency Situations, 12, 21-27. (in Russian)

Berlyand, M. Ye. (1985). Prognoz i regulirovanie zagryazneniya atmosfery. Leningrad: Gidrometeoizdat. (in Russian)

Bruyatskiy, Ye. V. (2000). Teoriya atmosfernoy diffuzii radioaktivnykh vybrosov. Kyiv : Institute of Hydrome-chanics NAS of Ukraine. (in Russian)

Zgurovskiy, M. Z., Skopetskiy, V. V., Khrushch, V. K., & Belyaev, N. N. (1997). Chislennoe modelirovanie rasprostraneniya zagryazneniya v okruzhayushchey srede. Kyiv: Naukova dumka. (in Russian)

Samarskiy, A. A. (1983). Teoriya raznostnykh skhem. Moscow: Nauka Publ. (in Russian)

Al-Zghoul, B. M., & Abu-El-Sha’r, W. Y. (2020). New Gaussian Plume Equation for the Impacts of Dust Storms on Radionuclide Transport. Aerosol and Air Quality Research, 20(1), 119-127. DOI: (in English)

Barret, A. M. (2009). Mathematical Modeling and Decision Analysis for Terrorism Defense: Assessing Chlorine Truck Attack Consequence and Countermeasure Cost Effectiveness. (Dissertation of Doctor of Philosophy). Carnegie Mellon University, Pittsburg. (in English)

Biliaiev, M. M., & Kharytonov, M. M. (2011). Numerical Simulation of Indoor Air Pollution and Atmosphere Pollution for Regions Having Complex Topography. In NATO Science for Peace and Security Series C: Environmental Security (pp. 87-91). DOI: (in English)

Ilić, P., Ilić, S., & Stojanović Bjelić, L. (2018). Hazard Modelling of Accidental Release Chlorine Gas Using Modern Tool-Aloha Software. Quality of Life (Banja Luka) - APEIRON, 16(1-2), 38-45. DOI: (in English)

Tseng, J. M., Su, T. S., & Kuo, C. Y. (2012). Consequence Evaluation of Toxic Chemical Releases by ALOHA. Procedia Engineering, 45, 384-389. DOI: (in English)

Zavila, O., Dobes, P., Dlavka, J., & Bitta, J. (2015). The analysis of the use of mathematical modeling for emer-gency planning purposes. The science for population protection, 2, 1-8. (in English)



How to Cite

Biliaiev, M. M., Kalashnikov , I. V., Berlov, O., Kozachyna, V., & Poltoratska, V. (2024). Using Gabions to Protect Oil Storage Facilities from Damage. Science and Transport Progress, (2(106), 12–17.