摘要
以往的隧道疏散时间计算大多基于固定的参数,这样的假设条件与实际情况相差较大,计算结果不能令人满意。由于隧道环境多变以及人行为的复杂性,使得疏散的行为充满随机性,文章通过对隧道人员疏散过程的详细分析,采用随机方法输入数据,利用蒙特卡洛法计算隧道疏散时间,获得大量随机计算的统计结果。统计结果显示了疏散行为的随机性,与一般的仿真模拟方法对比,计算结果比较接近实际情况。研究结果表明蒙特卡洛法具有模型简洁、目标明确、计算快速、参数易调整、使用方便等特点,可适应隧道疏散复杂的假设条件。
Most of the previous calculations for tunnel evacuation times are based on fixed parameters, and there are large differences between assumed and actual situations, so the calculation results are less than satisfactory. Because of the complexity of the tunnel environment and the behavior of people, evacuation behavior is full of randomness. Many statistical results of random calculations are obtained through a detailed analysis of the tunnel evacuation process and by using the random data input method and the Monte Carlo method to calculate evacuation time. Statistics show the randomness of evacuation behavior and the computation results are closer to the real-life situation compared with those of a general simulation. The results show that the Monte Carlo method is simple, goal-oriented, fast, and characterized by easy parameter adjustment and application, which adapts to tunnel evacuations in complex scenarios.
出处
《现代隧道技术》
EI
CSCD
北大核心
2017年第2期144-148,共5页
Modern Tunnelling Technology
关键词
隧道
人员疏散
仿真模拟
蒙特卡罗法
经验公式法
随机
Tunnel
Personnel evacuation
Analogue simulation
Model Carlo method
Empirical formula method
Random
