애스크로AIPublic Preview
← 학술논문 검색
학술논문대한안전경영과학회지2025.12 발행

층별 분산율을 고려한 분산 대피 성능평가 방법 연구

A Study on the Distributed Evacuation Performance Evaluation Method Considering Floor-wise Dispersion Rate

한혁((주) 리얼타임테크); 김재광((주)리얼타임테크); 김신유((주)리얼타임테크)

27권 4호, 35~42쪽

초록

Recently, fire evacuation problems in high-rise buildings have been increasing due to increased occupant density and limited evacuation routes, leading to increased casualties. To address this issue, this study proposes a distributed evacuation performance evaluation method that considers floor-by-floor distribution ratios. Using FDS+EVAC-based simulations, various floor-by-floor distribution scenarios were designed and their impact on evacuation times and bottlenecks was quantitatively analyzed. The results confirmed that rationally adjusting the floor-by-floor exit and elevator utilization ratios shortened overall evacuation times and reduced congestion in specific areas. This method can serve as a foundation for establishing evacuation plans and fire safety design standards for high-rise buildings.

Abstract

Recently, fire evacuation problems in high-rise buildings have been increasing due to increased occupant density and limited evacuation routes, leading to increased casualties. To address this issue, this study proposes a distributed evacuation performance evaluation method that considers floor-by-floor distribution ratios. Using FDS+EVAC-based simulations, various floor-by-floor distribution scenarios were designed and their impact on evacuation times and bottlenecks was quantitatively analyzed. The results confirmed that rationally adjusting the floor-by-floor exit and elevator utilization ratios shortened overall evacuation times and reduced congestion in specific areas. This method can serve as a foundation for establishing evacuation plans and fire safety design standards for high-rise buildings.

발행기관:
대한안전경영과학회
분류:
안전공학

AI 법률 상담

이 논문의 주제에 대해 더 알고 싶으신가요?

460만+ 법률 자료에서 관련 판례·법령·해석례를 찾아 답변합니다

AI 상담 시작
층별 분산율을 고려한 분산 대피 성능평가 방법 연구 | 대한안전경영과학회지 2025 | AskLaw | 애스크로 AI