화재시 가시도 변화에 따른 대피속도 산정에 관한 연구

A Study on the Evacuation Time by the Influence of Decreasing Visibility on Fire

  • Rie, Dong-Ho (Department of Safety Engineering, University of Incheon) ;
  • Park, Jong-Seung (Department of Computer Science Engineering, University of Incheon)
  • 발행 : 2007.10.31

초록

The computer program is developed to simulate the evacauation time for a building which is made geometrically complex. The program is intended for use both as a search and a design tool to analyze the evacuation safety through a wide range of structure environments. The computer program has a function of importing FDS's result to each individual resident in the building. These attributes include a walking speed reduction by producing visibility reduction for each person on the fire. $A^*$ pathfinding algorithm is adopted to calculate the simulation of escape movement, overtaking, route deviation, and adjustments to individual speeds due to the proximity of crowd members. Finally, a case study for a theater is presented to compared the calculated evacuation time with SIMULEX in detail. This program contribute to a computer program that evaluates the evacuation time of individual occupants as they walk towards, and through the exits especially for building, underground spaces like a subway or tunnel.

키워드

참고문헌

  1. 이창민 외 다수, '제 5 차 한국인 인체치수조사사업 보고서 (2 차년도 최종보고서)', 산업자원부 기술표준원, 2004.11
  2. 박창영 외 2 명, '인체 모듈과 특성을 고려한 인간의 피난 행동에 관한 연구', 대한건축학회 창립 60주년기념 학술발표대회논문집, pp. 231-234. 2005
  3. P.A. Thompson and E.W. Marcahnt, 'simulex; Developing New Computing Modelling Techniques For Evaluation', Proceedings of the Fourth International Symposium on Fire Safety Science, (T. Kashiwagi, ed.), International Association for Fire Safety Science, pp. 613-624, 1994
  4. Harold E. 'Bud' Nelson and Frederick W. Mowrer 'The SFPE handbook of Fire Protection Engineering, chapter Emergency Movement', Third Edition, National Fire Protection Association, pp. 3-367-380, 2002
  5. E. D. Kuligowski, R. D. Peacock, Review of Building Evacuation Models, NIST Technical Note 1471, 2005
  6. Avron Barr, Edward Feigenbaum, The Handbook of Artificial Intelligence, William Kaufmann, 1981
  7. Richard E. Korf, Artificial Intelligence Search Algorithms, Algorithms and Theory of Computation Handbook, CRC Press, 1999
  8. Richard E. Korf, Space-efficient search algorithms, ACM Computing Surveys, Vol. 27, No.3, pp. 337-339, 1995 https://doi.org/10.1145/212094.212120
  9. P. P. Das and P. P Chakrabarti, 'Distance functions indigital geometry', Information Sciences, Vol. 42, pp. 113-136, 1987 https://doi.org/10.1016/0020-0255(87)90019-3
  10. R. E. Korf, Depth-First Iterative Deepening: An Optimal Admissible Tree Search, Artificial Intelligence, Vol. 27, pp. 97 -109, 1985 https://doi.org/10.1016/0004-3702(85)90084-0