Bench scale and flame manikin tests are two typical methods to evaluate thermal protective performance (TPP) of fire protective clothing. However, flame manikin test is limited to be widely used for its complication and high cost. The purpose of this paper is to develop a method to evaluate the thermal performance of protective clothing from the bench scale test results and garment parameters, which predicts the body burn injuries without conducting flame manikin tests.,Bench scale and flame manikin tests’ data were collected from the previous research literature and then statistical analysis was performed to quantitatively investigate the correlations between the two test methods. Equations were established to predict the TPP values accounting for the effects of entrapped air gap and thermal shrinkage. Fitting analysis was conducted to analyze the relationship between the predicted TPP values and total burn injury. Finally, a method to predict total burn injury from the TPP values was proposed and validated.,The results showed that when the TPP value was predicted with the effects of air gap and thermal shrinkage considered, there was an approximate linear relationship between the predicted TPP values and total burn injury from the manikin test. Therefore, the prediction model of burn injury was developed based on the correlation analysis and verified with a generally good accuracy.,This paper presented a new prediction method to evaluate the thermal performance of protective clothing, which saved significant time and cost compared to the conventional methods. It can provide useful information for burn injury prediction of protective clothing.

中文翻译：

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基于台架尺度与火焰人体模型相关性分析的防护服热性能评价预测方法

台秤和火焰人体模型测试是评估防火服热防护性能（TPP）的两种典型方法。然而，火焰人体模型测试由于其复杂性和高成本而限制了其广泛应用。本文的目的是开发一种从台架试验结果和服装参数来评估防护服热性能的方法，该方法可以在不进行火焰人体模型测试的情况下预测人体烧伤。,台架规模和火焰人体模型测试的数据是从先前的研究文献中收集，然后进行统计分析以定量研究两种测试方法之间的相关性。建立方程来预测 TPP 值，考虑到夹带气隙和热收缩的影响。进行拟合分析以分析预测的 TPP 值与总烧伤之间的关系。最后，提出并验证了一种根据 TPP 值预测总烧伤损伤的方法。结果表明，在考虑气隙和热收缩影响的情况下预测 TPP 值时，预测的 TPP 之间存在近似线性关系。值和来自人体模型测试的总烧伤。因此,基于相关性分析建立了烧伤预测模型,并验证了总体良好的准确性。,本文提出了一种评估防护服热性能的新预测方法,与传统方法相比,节省了大量时间和成本。方法。可为防护服的烧伤预测提供有用的信息。