私密直播全婐app免费大渔直播,国产av成人无码免费视频,男女同房做爰全过程高潮,国产精品自产拍在线观看

相關(guān)鏈接
聯(lián)系方式
  • 通信地址:山東省青島市黃島區(qū)長江西路66號
  • 郵編:266580
  • 電話:0532-86983500
  • 傳真:
  • Email:kongdepeng@upc.edu.cn
當前位置:> 首頁 > 論文著作 > 正文
A Monte Carlo analysis of the effect of heat release rate uncertainty on available safe egress time.
作者:Kong, D., N. Johansson, P. van Hees, S. Lu, and S. Lo.
關(guān)鍵字:Time-squared fire growth, peak heat release rate, heat release rate uncertainty, Latin hypercube sampling, probability-based available safe egress time
論文來源:期刊
具體來源:Journal of Fire Protection Engineering no. 23 (1):5-29.
發(fā)表時間:2012年
Available safe egress time is an important criterion to determine occupant safety in performance-based fire protection design of buildings. There are many factors affecting the calculation of available safe egress time, such as heat release rate, smoke toxicity and the geometry of the building. Heat release rate is the most critical factor. Due to the variation of fuel layout, initial ignition location and many other factors, significant uncertainties are associated with heat release rate. Traditionally, fire safety engineers prefer to ignore these uncertainties, and a fixed value of heat release rate is assigned based on experience. This makes the available safe egress time results subjective. To quantify the effect of uncertainties in heat release rate on available safe egress time, a Monte Carlo simulation approach is implemented for a case study of a single hypothetical fire compartment in a commercial building. First, the effect of deterministic peak heat release rate and fire growth rate on the predicted available safe egress time is studied. Then, the effect of uncertainties in peak heat release rate and fire growth rate are analyzed separately. Normal and log-normal distributions are employed to characterize peak heat release rate and fire growth rate, respectively. Finally, the effect of uncertainties in both peak heat release rate and fire growth rate on available safe egress time are analyzed. Illustrations are also provided on how to utilize probabilistic functions, such as the cumulative density function and complementary cumulative distribution function, to help fire safety engineers develop proper design fires.
主站蜘蛛池模板: 平乐县| 沧州市| 雷波县| 大兴区| 淮南市| 即墨市| 营山县| 西乌珠穆沁旗| 桑植县| 威宁| 沈丘县| 于田县| 山阳县| 翁源县| 通河县| 德兴市| 岱山县| 新乐市| 定远县| 黎平县| 海晏县| 克东县| 金门县| 梓潼县| 涿州市| 镶黄旗| 湖口县| 丹巴县| 宁南县| 博白县| 遵义县| 山丹县| 乡宁县| 芜湖县| 顺昌县| 舟山市| 南开区| 靖边县| 延长县| 格尔木市| 湾仔区|