DOI: https://doi.org/10.15802/stp2020/200752

RISK ASSESSMENT OF THERMAL DAMAGE TO PEOPLE AT INDUSTRIAL SITES IN CASE OF EMERGENCY BURNING SOLID PROPELLANT

M. M. Biliaiev, O. V. Berlov, V. A. Kozachyna, I. V. Kalashnikov, O. V. Shevchenko

Abstract


Purpose. This work involves the development of a numerical model for the calculation of areas of thermal damage to people in the event of solid propellant burning at the industrial site. Methodology. An equation expressing the law of energy conservation was used to solve the problem of determining the areas of thermal shock of people at the industrial site. A potential flow model was used to calculate the airflow velocity field in the presence of buildings at the industrial site where an emergency occurs. The numerical solution of the two-dimensional equation for the velocity potential is derived using the Liebmann method. This numerical model takes into account the uneven velocity field of the wind flow that is formed near industrial buildings. An implicit difference splitting scheme was used to numerically solve the energy equation. The physical splitting of a two-dimensional energy equation into a system of one-dimensional equations describing the temperature transfer in one coordinate direction has been carried out previously. At each splitting step, the unknown temperature value is determined by an explicit point-to-point computation scheme. Based on the numerical model built, the code using the FORTRAN algorithm language is created. Findings. Based on the developed numerical model, a computational experiment was conducted to evaluate the risk of thermal damage to people at the industrial site where solid propellants are produced. The dangerous areas for personnel are identified. Originality. An efficient numerical model has been developed to calculate the zones of thermal pollution in case of solid propellant burning. Practical value. Based on the developed mathematical model, a computer program was created, which allows performing serial calculations for determining the zones of thermal damage during emergencies at the chemically hazardous objects. The mathematical model developed can be used to design an emergency response plan for chemically hazardous objects.


Keywords


risk of thermal damage; emergency burning of solid propellant; mathematical modelling

References


Alymov, V. T., & Tarasova, N. P. (2004). Tekhnogennyy risk. Analiz i otsenka: uchebebnoe posobie dlya vuzov. Moscow: Akademkniga. (in Russian)

Biliaiev, N. N., Gunko, E. Y., & Rostochilo, N. V. (2014). Zashchita zdaniy ot proniknoveniya v nikh opasnykh veshchestv: Monografiya. Dnepropetrovsk: Aktsent PP. (in Russian)

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

Marchuk, G. I. (1982). Matematicheskoye modelirovaniye v probleme okruzhayushchey sredy. Moscow: Nauka. (in Russian)

Anjana, N. S., Amarnath, A., & Harindranathan Nair, M. V. (2018). Toxic hazards of ammonia release and population vulnerability assessment using geographical information system. Journal of Environmental Management, 210, 201-209. DOI: https://doi.org/ 10.1016/j.jenvman.2018.01.021 (in English)

Berlov, O. V. (2016). Atmosphere protection in case of emergency during transportation of dangerous cargo. Sciеnce and Transport Progress, 1(61), 48-54. DOI: https://doi.org/ 10.15802/stp2016/60953 (in English)

Biliaiev, M. M., & Kharytonov, M. M. (2012). Numerical Simulation of Indoor Air Pollution and Atmosphere Pollution for Regions Having Complex Topography. NATO Science for Peace and Security. Series C: Environmental Security, 87-91. DOI: https://doi.org/10.1007/978-94-007-1359-8_15 (in English)

Cao, C., Li, C., Yang, Q., & Zhang, F. (2017). Multi-Objective Optimization Model of Emergency Organization Allocation for Sustainable Disaster Supply Chain. Sustainability, 9(11). DOI: https://doi.org/10.3390/su9112103 (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, 9(1-2). DOI: https://doi.org/https://doi.org/10.7251/QOL1801038I (in English)

Komatina, D. I., Galjak, J., & Belošević, S. (2018). Simulation of chemical accidents with acetylene in «messer tehnogas» kraljevo plant by «aloha» software program. Publication in Natural Sciences, 8(2), 19-26. DOI: https://doi.org/ 10.5937/univtho8-18014 (in English)

Lee, H., Sohn, J.-R., Byeon, S.-H., Yoon, S., & Moon, K. (2018). Alternative Risk Assessment for Dangerous Chemicals in South Korea Regulation: Comparing Three Modeling Programs. International Journal of Environmental Research and Public Health, 15(8), 1-12. DOI: https://doi.org/ 10.3390/ijerph15081600 (in English)

Government of Alberta. (2017). Protective Action Criteria: A Review of Their Derivation, Use, Advantages and Limitations. Environmental Public Health Science Unit, Health Protection Branch, Public Health and Compliance Division, Alberta Health. Edmonton, Alberta. Retrieved from http://open.alberta.ca/publications/9781460131213 (in English)

Tumanov, A., Gumenyuk, V., & Tumanov, V. (2017). Development of advanced mathematical predictive models for assessing damage avoided accidents on potentially-dangerous sea-based energy facility. IOP Conference Series: Earth and Environmental Science, 90, 1-12.DOI: https://doi.org/10.1088/1755-1315/90/1/012027 (in English)


GOST Style Citations


  1. Алымов В. Т., Тарасова Н. П. Техногенный риск. Анализ и оценка : учеб. пособие для вузов. Москва : Академкнига, 2004. 118 с.
  2. Беляев Н. Н,. Гунько Е. Ю., Росточило Н. В. Защита зданий от проникновения в них опасных веществ : монография. Днепропетровск : Акцент ПП, 2014. 136 с.
  3. Згуровский М. З., Скопецкий В. В., Хрущ В. К., Беляев Н. Н. Численное моделирование распространения загрязнения в окружающей среде. Киев : Наук. думка, 1997. 368 с.
  4. Марчук Г. И. Математическое моделирование в проблеме окружающей среды. Москва : Наука, 1982. 320 с.
  5. Anjana N. S., Amarnath A., Harindranathan Nair M. V. Toxic hazards of ammonia release and population vulnerability assessment using geographical information system. Journal of Environmental Management. 2018. Vol. 210. P. 201–209. DOI: https://doi.org/ 10.1016/j.jenvman.2018.01.021
  6. Berlov O. V. Atmosphere protection in case of emergency during transportation of dangerous cargo. Наука та прогрес транспорту. 2016. № 1 (61). С. 48–54. DOI: https://doi.org/ 10.15802/stp2016/60953
  7. Biliaiev M. M., Kharytonov M. M. Numerical Simulation of Indoor Air Pollution and Atmosphere Pollution for Regions Having Complex Topography. NATO Science for Peace and Security. Series C: Environmental Security. Dordrecht, 2012. P. 87–91. DOI: https://doi.org/10.1007/978-94-007-1359-8_15
  8. Cao C., Li C., Yang Q., Zhang F. Multi-Objective Optimization Model of Emergency Organization Allocation for Sustainable Disaster Supply Chain. Sustainability. 2017. Vol. 9. Іss. 11. DOI: https://doi.org/10.3390/su9112103
  9. Ilić P., Ilić S., Stojanović Bjelić L. Hazard modelling of accidental release chlorine gas using modern tool-aloha software. Quality of life. 2018. Vol. 9 (1–2). P. 38–45. DOI: https://doi.org/10.7251/QOL1801038I
  10. Komatina D. I., Galjak J., Belošević S. Simulation of chemical accidents with acetylene in in «messer tehnogas» kraljevo plant by «aloha» software program. Publication in Natural Sciences. 2018. Vol. 8. Iss. 2. P. 19–26. DOI: https://doi.org/10.5937/univtho8-18014
  11. Lee H., Sohn J.-R., Byeon S.-H., Yoon S., Moon K. Alternative Risk Assessment for Dangerous Chemicals in South Korea Regulation: Comparing Three Modeling Programs. Int. J. Environ. Res. Public Health. 2018. Vol. 15. P. 1–12. DOI: https://doi.org/10.3390/ijerph15081600
  12. Protective Action Criteria. A Review of Their Derivation, Use, Advantages and Limitations. Environmental Public Health Science Unit, Health Protection Branch, Public Health and Compliance Division, Alberta Health. Edmonton, Alberta, 2017. URL: http://open.alberta.ca/publications/9781460131213 (дата звернення: 15.10.2019).
  13. Tumanov A., Gumenyuk V., Tumanov V. Development of advanced mathematical predictive models for assessing damage avoided accidents on potentially-dangerous sea-based energy facility. IOP Conf. Series: Earth and Environmental Science. 2017. Vol. 90. P. 1–12. DOI: https://doi.org/10.1088/1755-1315/90/1/012027




Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.

 

ISSN 2307–3489 (Print)
ІSSN 2307–6666 (Online)