首页> 外文期刊>Combustion and Flame >Large-eddy simulation of methanol pool fires using an accelerated stochastic fields method
【24h】

Large-eddy simulation of methanol pool fires using an accelerated stochastic fields method

机译:使用加速随机场方法对甲醇池火灾的大涡模拟

获取原文
获取原文并翻译 | 示例
       

摘要

Large-eddy simulation with transported probability density function (t-PDF) method for modelling pool fires is presented. The PDF method that is used here is based on the Eulerian stochastic fields method (SF), and is accelerated with chemistry coordinate mapping (CCM) technique. SF-CCM for large-eddy simulation is formulated and applied to simulate methanol pool fires with various pool sizes for the first time. The model includes finite rate chemistry effects with detailed chemistry of the methanol combustion. The simulation results agree well with experiments in terms of the averaged flame height and the maximum ceiling temperature. More important is the capability of the current approach in reproducing the dynamic characteristics of the fire plume. Especially, the intermittent behaviour of pool fires and its response to the effects of the pool size are predicted, accurately. The key factor to success is the capability of the method in handling multiple modes of combustion in both premixed and non-premixed mixtures. It is shown that a pool fire involves the local and global extinction which is mainly due to the large entrainment of the fresh and cold ambient air to the base of fire plume. It is shown that the quenching and re-ignition are key processes in the understanding the dynamic behaviour of pool fires. (C) 2016 The Combustion Institute. Published by Elsevier Inc. All rights reserved.
机译:提出了用运输概率密度函数(t-PDF)方法对水池火灾进行建模的大涡模拟。此处使用的PDF方法基于欧拉随机场方法(SF),并通过化学坐标映射(CCM)技术进行了加速。制定了用于大涡模拟的SF-CCM,并首次将其应用于模拟各种池尺寸的甲醇池火灾。该模型包括有限速率化学效应以及甲醇燃烧的详细化学信息。模拟结果在平均火焰高度和最高天花板温度方面与实验非常吻合。更重要的是,当前方法具有再现火羽动态特性的能力。特别是,可以准确地预测池火灾的间歇性行为及其对池大小影响的响应。成功的关键因素是该方法能够处理预混和非预混混合物的多种燃烧模式。结果表明,池火涉及局部和全球性灭绝,这主要是由于新鲜和寒冷的环境空气大量夹带到火柱底部。结果表明,淬火和再点火是理解池火动态行为的关键过程。 (C)2016年燃烧研究所。由Elsevier Inc.出版。保留所有权利。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号