在某大断面公路隧道开展火灾全尺寸实验,评估实验中的温度测量误差。利用同一工况的多次重复实验获得了火灾场景下隧道内的温度分布,随后利用统计学方法量化评估了隧道不同区域、不同时间的纵断面温度数据的误差。结果表明:隧道火灾全尺寸实验中温度数据误差最大可达到±20℃,最大相对误差可达40%。自然风和火源功率波动是影响温度数据不确定性的2个重要因素,并直接导致了烟气前锋到达阶段和火源功率衰减阶段温度数据标准差的显著增大。火源的上下风向区域温度数据的标准差存在较大的差异。上风向烟气扩散容易受到风速波动干扰,温度数据相对误差可达到20%。研究结果可为隧道全尺寸实验数据准确度评估和误差分析提供支撑。
Full-scale fire experiments in real highway tunnels were conducted to evaluate the temperature measurement errors in such experiments.The longitudinal temperature distributions in the tunnel were measured in repeated trials with the same conditions.Statistical analyses were then use to quantify the temperature measurement errors in different areas and at different times.The maximum error was more than ±20℃ with the maximum relative error reaching 40%.Fluctuations in the flow rate and fire power were two important factors affecting the uncertainties with then increased the standard deviation of the temperature in the smoke front arrival stage and the fire power attenuation stage.There were significant differences in the standard deviations of the temperature upstream and downstream of the fire source.The upwind smoke diffusion is more easily disturbed by flow rate fluctuations with a maximum relative temperature error of more than 20%.The results support accuracy evaluations and error analyses of full-scale experimental tunnel fire data.
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