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Evaluation of a zone-based model for commodity classification using a representative fuel
Proceedings of the Combustion Institute ( IF 3.4 ) Pub Date : 2020-07-30 , DOI: 10.1016/j.proci.2020.07.002
Dong Han , Yibing Xin

This study presents the development of a zone-based model for commodity classification. The model divides the rack storage into multiple zones with each representing one tier of commodity. The fire spread within each zone is modeled using energy conservation for burning surface area. The water transport between zones is modeled using mass conservation. Effective properties are used to simplify the commodity behavior for fire spread and suppression. Model parameters are estimated or optimized based on experimental data. The model performance is evaluated against a representative commodity with well-established flammability properties. The chemical heat release rate matches generally well with experimental data under different storage heights and water application conditions. The model is able to predict the values of Critical Delivered Flux (CDF) for higher-tier storage based on two lower-tier experiments. The predicted CDF values reasonably agree with the experimental results. This work demonstrates a means to generalize results from tests under controlled water application conditions, which is critical to improve the cost-effectiveness of commodity classification.



中文翻译:

使用代表性燃料评估基于区域的商品分类模型

这项研究提出了一种基于区域的商品分类模型。该模型将货架存储分为多个区域,每个区域代表一层商品。每个区域内的火势蔓延使用燃烧表面积的能量守恒进行建模。使用质量守恒对区域之间的水传输进行建模。有效属性用于简化火势蔓延和扑灭的商品行为。根据实验数据估算或优化模型参数。针对具有良好可燃性的代表性商品评估模型性能。在不同的存储高度和水的施加条件下,化学放热率通常与实验数据非常吻合。该模型能够基于两个较低层的实验来预测较高层存储的临界交付通量(CDF)的值。预测的CDF值与实验结果合理吻合。这项工作展示了一种在受控用水条件下归纳测试结果的方法,这对于提高商品分类的成本效益至关重要。

更新日期:2020-07-31
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