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Algorithm for Smoke Modeling in Large, Multicompartmented Buildings—Development of a Hybrid Model

机译:大型多室建筑中的烟雾建模算法—混合模型的开发

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摘要

This paper describes a newly developed hybrid model to enable the simulation of smoke and heat movement in multi-compartment buildings due to a fire. The hybrid model comprised two integrated models: a zone and a network model. The two-zone model was developed to simulate fire and smoke movement inside the room of fire-origin and neighboring compartments. The network model capable of predicting both mass and energy flow is used to simulate smoke movement into the rest of the compartments that are far away from the fire-origin room. The two models were combined to produce a hybrid model that allows an accurate simulation of fire dynamics in both the near- and far-field. The paper illustrates the different steps of the development of the model. In a subsequent paper, the implementation of the developed hybrid model for different buildings will be discussed. In order to understand mass and heat transfer between compartments, two types of vent flows are discussed here: horizontal flow through a vertical vent, and vertical flow through a horizontal ceiling vent. Equations for both types of vent flows are presented in the paper.
机译:本文介绍了一种新开发的混合模型,该模型能够模拟由于火灾引起的多室建筑物中的烟和热运动。混合模型包括两个集成模型:区域模型和网络模型。开发了两个区域的模型来模拟起火室内和相邻隔间内的火灾和烟雾运动。能够预测质量和能量流的网络模型用于模拟烟雾向远离起火室的其余舱室的运动。将这两个模型结合起来,产生了一个混合模型,该模型可以在近场和远场中精确模拟火灾动态。本文说明了模型开发的不同步骤。在随后的论文中,将讨论针对不同建筑物开发的混合模型的实现。为了理解隔室之间的质量和热量传递,此处讨论了两种类型的通风口流量:通过垂直通风口的水平流量和通过水平天花板通风口的垂直流量。本文介绍了两种排气流量的方程式。

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  • 来源
    《ASHRAE Transactions》 |2011年第2011期|p.769-876|共108页
  • 作者单位

    a senior research officer at the Institute for Research in Construction, National Research Council Canada, Ottawa, Ontario;

    a professor in the Department of Civil and Environmental Engineering;

    a master's student in the School of Mathematics and Statistics;

    an assistant professor in the School of Mathematics and Statistics at Carleton University, Ottawa, Ontario, Canada;

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  • 正文语种 eng
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