基于改进社会力模型的地铁大客流疏散能力研究*

为有效应对大客流情景下人群拥挤对地铁站正常运行带来的影响,采用社会力模型和Anylogic仿真软件,对地铁站大客流疏散能力进行建模和分析,从客观、主观、管理视角分析影响客流疏散能力的因素,基于改进社会力模型刻画行人行为,分析影响地铁车站疏散能力的3个关键因素,并以南宁地铁1号线朝阳广场站为背景进行研究。研究结果表明:行人密度是影响地铁站疏散能力的关键因素,出入口选择策略和行人亲属关系比例对疏散能力影响显著,研究结果可为地铁客流疏散提出针对性建议。     

复杂建筑空间人员应急疏散的无人机引导模型研究*

为提升紧急情况下复杂建筑空间中应急疏散引导的疏散效率,采用仿真模拟方法,提出1套可适用于复杂建筑空间人员应急疏散的无人机引导模型,该模型通过改进传统算法和构建新方法,实现无人机空间遍历移动规则寻优、无人机引导路径寻优以及基于“障碍物空间场域”建筑空间区域划分。研究结果表明:相较于没有无人机引导,采用单无人机和多无人机协同引导疏散,可大幅缩短整体疏散时间,有效减少疏散路径当量长度,提高疏散效率并保证路径安全,为无人机在应急救援和疏散的应用提供新思路。     

大空间建筑火灾中热烟气层发展规律的理论分析

对几类典型的大空间建筑火灾中热烟气层的发展规律进行了理论分析,并和文献中的实验结果进行了对比。理论分析表明热烟气层的发展速率除了与火源的功率和大空间的几何尺寸有关外,还取决于火羽流的种类。给出了轴对称火羽流、二维线性溢流和沿墙壁的二维线性火羽流情况下的热烟气层发展速率的表达式,对大空间建筑的火灾安全设计与灾害预测具有指导意义。     

Interpreting and using outputs from the Canadian Forest Fire Danger Rating System in research applications

Understanding and being able to predict forest fire occurrence, fire growth and fire intensity are important aspects of forest fire management. In Canada fire management agencies use the Canadian Forest Fire Danger Rating System (CFFDRS) to help predict these elements of forest fire activity. In this paper a review of the CFFDRS is presented with the main focus on understanding and interpreting Canadian Fire Weather Index (FWI) System outputs. The need to interpret the outputs of the FWI System with consideration to regional differences is emphasized and examples are shown of how the relationship between actual fuel moisture and the FWI System’s moisture codes vary from region to region. Examples are then shown of the relationship between fuel moisture and fire occurrence for both human- and lightning-caused fire for regions with different forest composition. The relationship between rate of spread, fuel consumption and the relative fire behaviour indices of the FWI System for different forest types is also discussed. The outputs of the CFFDRS are used every day across Canada by fire managers in every district, regional and provincial fire management office. The purpose of this review is to provide modellers with an understanding of this system and how its outputs can be interpreted. It is hoped that this review will expose statistical modellers and other researchers to some of the models used currently in forest fire management and encourage further research and development of models useful for understanding and managing forest fire activity.

Simulating dynamic and mixed-severity fire regimes: A process-based fire extension for LANDIS-II

Fire regimes result from reciprocal interactions between vegetation and fire that may be further affected by other disturbances, including climate, landform, and terrain. In this paper, we describe fire and fuel extensions for the forest landscape simulation model, LANDIS-II, that allow dynamic interactions among fire, vegetation, climate, and landscape structure, and incorporate realistic fire characteristics (shapes, distributions, and effects) that can vary within and between fire events. We demonstrate the capabilities of the new extensions using two case study examples with very different ecosystem characteristics: a boreal forest system from central Labrador, Canada, and a mixed conifer system from the Sierra Nevada Mountains (California, USA). In Labrador, comparison between the more complex dynamic fire extension and a classic fire simulator based on a simple fire size distribution showed little difference in terms of mean fire rotation and potential severity, but cumulative burn patterns created by the dynamic fire extension were more heterogeneous due to feedback between fuel types and fire behavior. Simulations in the Sierra Nevada indicated that burn patterns were responsive to topographic features, fuel types, and an extreme weather scenario, although the magnitude of responses depended on elevation. In both study areas, simulated fire size and resulting fire rotation intervals were moderately sensitive to parameters controlling the curvilinear response between fire spread and weather, as well as to the assumptions underlying the correlation between weather conditions and fire duration. Potential fire severity was more variable within the Sierra Nevada landscape and also was more sensitive to the correlation between weather conditions and fire duration. The fire modeling approach described here should be applicable to questions related to climate change and disturbance interactions, particularly within locations characterized by steep topography, where temporally or spatially dynamic vegetation significantly influences spread rates, where fire severity is variable, and where multiple disturbance types of varying severities are common.     

火灾扑救模拟演练DIS系统框架的研究

论述了分布式交互仿真 (DistributedInteractiveSimulation ,简称DIS)技术在火灾扑救模拟演练中的应用 ,给出其系统框架 ;详细描述了该DIS系统中的白方系统、蓝方系统和红方系统的具体组成功能部分 ;提出了实现这些功能的软件平台。最后给出了研究DIS在火灾扑救演练应用中的结论 ;指出未来的发展方向 ,强调了实际应用中可能出现的技术难点     

反应失控型火灾爆炸事故预测

介绍了一种预测反庆失控灾害的方法,通过实验测定容器的时间常数,预测能够引起反应失控的最低环境温度,发生反应失控时的危险温度,以及达到最大反应速度反需的时间,预测结果与实际情况具有良好的一致性。     

基于神经网络的火灾探测系统

本文提出了一种基于神经网络的火灾探测方法,其对火灾的各种状态进行了识别,提高了早期发现火灾的能力,实验结果表明,该方法在火灾自动探测中是一种十分有效的方法。     

火灾科学中计算机模拟的新进展

本文主要讨论了火灾计算机模拟的三种新的数值模型，即场区模型、场区网模型及综合模型；并运用此三种模型分别对三种情形下发生的火灾进行了计算机模拟，结果表明此三种模型是可行的。     

热气溶胶灭火剂扑灭固体木垛火的实验研究

文章系统分析了热气溶胶灭火剂抑制A类火能力的影响因素,并用SQ灭火剂在全淹没条件下进行实验,研究了灭火剂用量、灭火室大小、木垛的预燃程度和木垛结构大小对灭火效果的影响规律,结果表明SQ热气溶胶灭火剂抑制A类火比B类火困难得多,此外灭火效果与木垛预燃程度、木垛的结构尺寸有关,与灭火实验所用的灭火室大小关系不大。并指出在评价热气溶胶灭火剂扑灭A类木垛火能力时,应详细给出灭火实验所采用的条件,特别是火灾模型的情况。