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首页> 外文期刊>ASHRAE Transactions >Algorithm for Smoke Modeling in Large,Multi-Compartmented Buildings—Implementation of the Hybrid Model
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Algorithm for Smoke Modeling in Large,Multi-Compartmented Buildings—Implementation of the Hybrid Model

机译:大型多隔层建筑烟雾建模算法—混合模型的实现

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摘要

Recently, an ASHRAE research project (RP-1328) was completed in which an algorithm for a hybrid model was developed (Kashef and Hadjisophocleous 2010). The hybrid model comprised two integrated models: a zone and a networkmodel: The two-zone model was developed to simulate fire and smoke movement inside the room of fire origin and neighboring rooms. The networkmodel capable of predicting both mass and energy flow is used to simulate smoke movement into the rest of the rooms 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 output of the zone model provided a direct input into the networkmodel that included the energy equation. The different steps involved in the development of the hybrid model were included in Kashef and Hadjisophocleous (2011). The application of this model permits a reasonable numerical simulation (time and accuracy) of the fire process, which determines both mass flow and energy transfer over an entire high-rise building using a standard personal computer. This paper presents the implementation of a hybrid model to simulate fires in different building geometries. The hybrid model combined two independent models: a zone model and a networkmodel. The solution procedure consisted of two parts: simulation of two-zone model, which dealt with the room of fire-origin and neighboring rooms, and simulation of the network model, which included rooms far away from the fire. The two-zone and network models were first tested individually; then the performance of the integrated model was investigated in different types of applications. The two-zone model was used to simulate afire in a room of a simple two-story, four-room building. A comparison was made between the two-zone model and CFAST (Jones et al. 2005), a well-known two-zone model for fire simulation. The network model is appropriate for rooms that are far away from the fire origin. A number of tests were performed using examples with different building geometries. A three-story, twelve-room building was used to simulate temperature and pressure changes inside compartment rooms. The mass flow rate comparison was made between the network model and CONTAM (Walton 1997), an existing network model for mass flow rate simulation. A comparison between adaptive time steps and fixed time steps was also included, showing better efficiency made by adaptive time steps. Finally, the models were integrated, where the solutions (temperature and mass flow rate) of the two-zone model become input source for the network model.
机译:最近,ASHRAE研究项目(RP-1328)已完成,其中开发了一种用于混合模型的算法(Kashef和Hadjisophocleous 2010)。混合模型包括两个集成模型:区域模型和网络模型:开发了两个区域模型以模拟火灾源和相邻房间内的火灾和烟气运动。能够预测质量和能量流的网络模型用于模拟烟雾向远离火源房间的其余房间的运动。将这两个模型结合起来,产生了一个混合模型,该模型可以精确模拟近场和远场的火灾动态。区域模型的输出为包含能量方程式的网络模型提供了直接输入。 Kashef和Hadjisophocleous(2011)中包括了开发混合模型的不同步骤。该模型的应用允许对火灾过程进行合理的数值模拟(时间和准确性),从而使用标准的个人计算机确定整个高层建筑的质量流量和能量传递。本文介绍了一种混合模型的实现,该模型可以模拟不同建筑物几何形状的火灾。混合模型结合了两个独立的模型:区域模型和网络模型。解决过程包括两部分:模拟两区域模型,该模型处理的是起源于火源的房间和邻近房间;以及网络模型的模拟,其中包括远离火源的房间。首先对两个区域和网络模型分别进行了测试。然后在不同类型的应用程序中研究了集成模型的性能。两区模型用于模拟简单的两层,四室建筑物的房间中的起火。在两区域模型和CFAST(Jones等人,2005)之间进行了比较,CFAST是众所周知的用于火灾模拟的两区域模型。网络模型适用于远离火源的房间。使用具有不同建筑物几何形状的示例进行了许多测试。一个三层,十二个房间的建筑被用来模拟车厢室内的温度和压力变化。在网络模型和CONTAM(Walton,1997)之间进行了质量流率的比较,该模型是现有的用于质量流率模拟的网络模型。还包括了自适应时间步长和固定时间步长之间的比较,显示了自适应时间步长可以实现更好的效率。最后,将模型集成在一起,其中两个区域模型的解(温度和质量流率)成为网络模型的输入源。

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  • 来源
    《ASHRAE Transactions 》 |2011年第2011期| p.777-875| 共99页
  • 作者单位

    industrial chair on Fire Safety Engineering in the Department of Civil and Environmental Engineering;

    a master's student;

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

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

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