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Using Directional Flame Thermometers for Measuring Thermal Exposure

机译:使用定向火焰温度计测量热曝光

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One of the recommendations that came from the NIST investigation of the World Trade Center disaster was the need for quantitative heat flux measurements in larger scale fire safety tests. These heat flux data are needed to support the development of engineering models to predict the performance of fire protection materials and systems. Current standardized fire resistance tests such as ASTM E119 or ISO 834 or IMO A754 are all qualitative tests. The furnace temperature is controlled to a standard time-temperature curve. Implicit assumptions are made that (1) the thermal exposure can be described solely by the measured furnace temperature history and (2) that exposure will be repeatable. Historical variations of 50 % or more in the qualitative fire protection ratings, such as a 1 h fire barrier, between different furnaces or laboratories indicate that these two assumptions are not well founded. This paper describes the use of a proven type of sensor called a directional flame thermometer (DFT) for making quantitative heat flux measurements in fire resistance tests. DFTs have been used for over 20 years to characterize the thermal environment in both large pool fires and in furnaces, to monitor flashover in structure fires, and in many other fire environments. DFTs are passive thermocouple-based sensors. They do not require calibration. Instead, the designs and materials with known thermal properties are fixed to provide a repeatable response. Using inverse heat conduction analysis techniques, heat fluxes are calculated using a heat conduction model of the DFT with temperature-dependent thermal properties and two or more thermocouple temperature measurements in a DFT. A fully nonlinear inverse heat conduction code is used for detailed post-test data analysis. A new data analysis tool for DFTs, called an inverse heatconduction-digital filter functions (IHC-DFF) has been developed for specific DFT designs to provide heat flux measurements in real-time, much like a calibration curve. IHC-DFFs are convolution-type digital filters that are used to provide real-time heat flux readouts during a test or for a quick-look capability for large sets of data. Simpler models are also used for analyzing early (<5-10 min) and late-time DFT data (>15 min). The current work demonstrates that DFT measurements can provide the quantitative data needed to support the development of performance models and improve our understanding of the thermal exposure in fire resistance tests.
机译:来自世界贸易中心灾害的NIST调查的建议之一是需要在更大的尺度消防安全测试中定量热通量测量。需要这些热通量数据来支持工程模型的开发,以预测防火材料和系统的性能。目前的标准化防火试验如ASTM E119或ISO 834或IMO A754都是定性测试。将炉温控制为标准的时间温度曲线。采用隐式假设(1)热曝光可以仅通过测量的炉温历史,(2)暴露将是可重复的。在不同的炉子或实验室之间的定性防火等级(如1 H防火屏障)等历史变化在定性的防火等级中的50%以上表明这两个假设不充分创建。本文介绍了一种经过验证的传感器,称为定向火焰温度计(DFT)的传感器,用于在耐火测试中进行定量热通量测量。 DFT已被使用超过20年,以表征两个大型池和炉中的热环境,以监控结构火灾中的闪光灯,以及许多其他火灾环境。 DFT是基于无源热电偶的传感器。它们不需要校准。相反,具有已知热性质的设计和材料是固定的,以提供可重复的响应。使用逆热传导分析技术,使用DFT的热传导模型计算热通量,具有温度依赖的热性能和DFT中的两个或更多个热电偶温度测量。完全非线性逆热传导代码用于详细的测试后数据分析。为特定DFT设计开发了一种用于DFT的DFT的新数据分析工具,用于特定DFT设计,以实时提供热通量测量,就像校准曲线一样。 IHC-DFF是卷积式数字滤波器,用于在测试期间提供实时热通量读数,或用于大量数据的快速外观功能。更简单的型号也用于早期(<5-10分钟)和后期DFT数据(> 15分钟)分析。目前的工作表明,DFT测量可以提供支持性能模型的发展所需的定量数据,并改善我们对防火试验中热暴露的理解。

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