首页> 外文会议>International Conference on Performance-based Fire and Fire Protection Engineering >A Whole Process Prediction Method for Temperature Field of Fire Smoke in Large Spaces
【24h】

A Whole Process Prediction Method for Temperature Field of Fire Smoke in Large Spaces

机译:大空间中火烟雾温度场的整个过程预测方法

获取原文

摘要

Based on the fire development model for the whole process of localized fires in large-space buildings and assisted by the technology of FDS large eddy simulation, the temperature fields of fire smoke of localized fires in large spaces were investigated with different building heights, building areas and fire powers. It has been found that for large-space buildings with a height greater than 6 m and a building area more than 1500 m~2, factors like building height and building area can slightly affect the curve trend of fire smoke, while such factor like fire power has more significant influence on the curve trend of fire smoke. Through the analysis of temperature rise curves of fire smoke in various fire scenarios, the paper proposed a whole-process prediction model for the temperature fields of fire smoke of localized fires in large-space buildings. As long as the model uses the appropriate shape coefficient, the prediction model can accurately predict the temperature fields of fire smoke of localized fires in large-space buildings.
机译:基于大型建筑物局部火灾的全过程的消防模式,通过FDS大涡模拟技术,大型建筑高度研究了大型空间中局部火灾的火焰烟雾温度场,建筑区域和消防力量。已经发现,对于高度大于6米和建筑面积超过1500米〜2的大型建筑物,建筑物高度和建筑面积的因素可以略微影响火灾的曲线趋势,而这种因素就像火一样权力对火烟曲线趋势的影响更大。通过分析各种火灾情景中的火烟的温度升高曲线,本文提出了一种全过程预测模型,为大型空间建筑中局部火灾的局部火灾温度场的全过程预测模型。只要该模型使用适当的形状系数,预测模型就可以准确地预测大型建筑物中局部火灾的火焰烟雾的温度场。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号