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Effects of Simulated Flash Fire and Variations in Skin Model on Manikin Fire Test

机译:模拟闪火和皮肤模型变化对人体模型火灾测试的影响

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摘要

An established numerical model of a manikin fire test, which has the capability of predicting heat transfer through thermally protective clothing exposed to an intense heat environment, is described in this paper. The model considers the fire characteristics simulated in a manikin chamber as well as the insulating air layers between protective garments and the skin surface. The numerical model is applied to analyze the effects of simulated flash fire and variations in a skin model on a manikin test. The study demonstrates that the heat flux measured by 122 thermal sensors over the surface of the manikin exhibits a bell-shaped Gaussian distribution for a short duration in calibration burn. A series of flash fire data with different distributions was generated statistically, and the effects on burn predictions were investigated. The results suggest that the fire distribution affects the burn predictions for 4 s of exposure. The effects of initial temperature distribution, thermal properties, as well as involvement of blood perfusion in a skin model on burn predictions are also discussed. The model predictions demonstrate that the initial temperature distribution in a skin model has a large effect on burn predictions for a one-layer garment exposed to short duration flash fire conditions.
机译:本文描述了建立的人体模型燃烧试验的数值模型,该模型具有预测暴露于高温环境的热防护服传热的能力。该模型考虑在人体模型室内模拟的着火特性以及防护服和皮肤表面之间的隔热空气层。该数值模型用于分析人体模型测试中模拟闪光和皮肤模型变化的影响。研究表明,在人体模型的表面上,由122个热传感器测量的热通量在标定燃烧中表现出短时间的钟形高斯分布。统计生成一系列具有不同分布的闪火数据,并研究了其对烧伤预测的影响。结果表明,火势分布会影响暴露4 s的燃烧预测。还讨论了初始温度分布,热特性以及皮肤模型中血液灌注的参与对烧伤预测的影响。模型预测表明,皮肤模型中的初始温度分布对暴露于短时间闪燃条件下的单层服装的烧伤预测有很大影响。

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