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CFD 시뮬레이션을 활용한 화학물질 누출사고 분석에 관한 연구

A Study on the Analysis of Chemical Leakage Accidents Using CFD Simulation

  • 안수빈 (국립재난안전연구원 재난원인조사실) ;
  • 장창봉 (제이씨비솔루션 주식회사) ;
  • 이경수 (국립재난안전연구원 재난원인조사실) ;
  • 권혜옥 (울산화학재난합동방재센터 환경팀)
  • Su-Bin An (Disaster Scientific Investigation Division, National Disaster Management Research Institute) ;
  • Chang-Bong Jang (JCB Solution Co., Ltd) ;
  • Kyung-Su Lee (Disaster Scientific Investigation Division, National Disaster Management Research Institute) ;
  • Hye-Ok Kwon (Environment Team, Joint Inter-Agency Center for Chemical Emergency Preparedness of Ulsan)
  • 투고 : 2023.07.14
  • 심사 : 2023.09.22
  • 발행 : 2023.09.30

초록

Objectives: Chemical accidents cause extensive human and environmental damage. Therefore, it is important to prepare measures to prevent their recurrence and minimize future damage through accident investigation. To this end, it is necessary to identify the accident occurrence process and analyze the extent of damage. In this study, the development process and damage range of actual chemical leakage accidents were analyzed using CFD. Methods: For application to actual chemical leakage accidents using FLACS codes specialized for chemical dispersion simulation among CFD codes, release rate calculation and 3D geometry were created, and scenarios for simulation were derived. Results: The development process of the accident and the dispersion behavior of materials were analyzed considering the influencing factors at the time of the accident. In addition, to confirm the validity of the results, we compared the results of the actual damage impact investigation and the simulation analysis results. As a result, both showed similar damage impact ranges. Conclusions: The FLACS code allows the detailed analysis of the simulated dispersion process and concentration of substances similar to real ones. Therefore, it is judged that the analysis method using CFD simulation can be usefully applied as a chemical accident investigation technique.

키워드

과제정보

본 연구는 국립재난안전연구원 연구과제(NDMI-주요-2022-06-01, NDMI-주요-2023-06-01)의 지원으로 수행되었습니다.

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