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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暴露

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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:美国国家标准与技术研究院(NIST)对世界贸易中心灾难的调查提出的建议之一是,需要在大规模的消防安全测试中进行定量的热通量测量。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。当前的标准耐火性测试(例如ASTM E119或ISO 834或IMO A754)均为定性测试。炉温控制为标准时间-温度曲线。隐含的假设是:(1)热暴露只能通过测得的炉温历史来描述,(2)暴露是可重复的。在不同的熔炉或实验室之间,定性防火等级的50%或更高的历史变化(例如1 h防火屏障)表明这两个假设没有充分的依据。本文介绍了使用一种称为定向火焰温度计(DFT)的成熟类型的传感器在耐火性测试中进行定量热通量测量的方法。 DFT已经用于表征大型水池火灾和熔炉中的热环境,监视结构火灾以及许多其他火灾环境中的闪络已超过20年。 DFT是基于无源热电偶的传感器。他们不需要校准。取而代之的是,将具有已知热特性的设计和材料固定以提供可重复的响应。使用逆导热分析技术,可使用DFT的导热模型(具有取决于温度的热特性)和DFT中的两个或多个热电偶温度测量值来计算热通量。完全非线性的逆导热代码用于详细的测试后数据分析。已经针对特定的DFT设计开发了一种用于DFT的新数据分析工具,称为逆导热数字滤波器功能(IHC-DFF),可以实时提供热通量测量,就像校准曲线一样。 IHC-DFF是卷积型数字滤波器,用于在测试过程中提供实时热通量读数,或用于快速查看大型数据集。还可以使用更简单的模型来分析早期(<5-10分钟)和晚期DFT数据(> 15分钟)。当前的工作表明DFT测量可以提供支持性能模型开发并增进我们对耐火性测试中的热暴露的理解所需的定量数据。

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