Experimental and theoretical evaluation of hydrogen cloud explosion with built-in obstacles
Experimental and theoretical evaluation of hydrogen cloud explosion with built-in obstacles
复制标题
内置障碍物氢气云爆炸的实验与理论评估
DOI：
10.1016/j.ijhydene.2020.07.067
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发表时间：
2020-10-16
影响因子：
7.2
通讯作者：
Gao, Wei
中科院分区：
文献类型：
--
作者：
Li, Yanchao;Bi, Mingshu;Gao, Wei
本文从实验和理论两方面对内置障碍物的氢云爆炸进行了评价。利用红外滤波技术捕捉火焰锋面演变，利用自由场声压传感器测量4个监测点的爆炸超压。建立了层流火焰模型和湍流火焰模型，从理论上提前预测了最大爆炸超压。结果表明，含障碍物氢云爆炸火焰加速是火焰不稳定性和障碍物湍流相互促进的结果。内建障碍物对最大火焰前缘速度的影响相对有限，火焰起皱系数的最大值为Xi(Delta,max) = 3.64。随着压力传感器与点火源距离的增加，最大爆炸超压、正超压脉冲和负超压脉冲绝对值均单调减小。正超压和负超压主要受垂直和水平方向钢管数的影响，而不受钢管截面长度的影响。爆炸超压在空气中的传播速度为c = 350.88 m/s。层流火焰模型对最大爆炸超压有明显的低估作用，湍流火焰模型能较好地预测4个监测点的最大爆炸超压。(C) 2020氢能源出版有限责任公司由爱思唯尔有限公司出版版权所有。
This work is aimed at evaluating hydrogen cloud explosion with built-in obstacles experimentally and theoretically. The flame front evolution is captured using infrared filtering technology and the explosion overpressure at four monitoring points is measured using free-field sound pressure sensor. The laminar flame model and turbulent flame model are established to theoretically predict maximum explosion overpressure in advance. The results demonstrated that the flame acceleration of hydrogen cloud explosion with built-in obstacles is attributed to mutual promotion of flame instabilities and obstacle-induced turbulence. The effects of built-in obstacles on maximum flame front velocity is relatively limited and maximum value of flame wrinkling factor is Xi(Delta,max) = 3.64. As the distance between pressure sensor and ignition source increases, the maximum explosion overpressure, positive overpressure impulse and absolute value of negative overpressure impulse are decreased monotonously. The positive overpressure and negative overpressure are mainly affected by steel pipe number in vertical and horizontal direction, rather than length of steel pipe cross-section. The velocity of explosion overpressure propagating in the air is c = 350.88 m/s. The maximum explosion overpressure should be significantly underestimated by laminar flame model, the turbulent flame model could be used to satisfactorily predict maximum explosion overpressure at four monitoring points. (C) 2020 Hydrogen Energy Publications LLC. Published by Elsevier Ltd. All rights reserved.