| 田代财,邓玉山,雷佼.飞火颗粒堆积条件下松针点燃实验研究[J].火灾科学,2025,34(2):98-107. |
| 飞火颗粒堆积条件下松针点燃实验研究 |
| Experimental study on the ignition of pine needles by a firebrand pile |
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| DOI：10.3969/j.issn.1004-5309.2025.02.03 |
| 基金项目:国家自然科学基金项目(52222605,51936011);国家重点研发计划项目(2020YFC1511603) |
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| 中文关键词: 飞火颗粒堆 松针燃料床 点燃概率 点燃延迟时间 热流 |
| 英文关键词:Firebrand pile Pine needle fuel bed Ignition probability Ignition delay time Heat flux |
| 摘要点击次数: 2136 |
| 全文下载次数: 139 |
| 中文摘要: |
| 飞火颗粒被森林植被阻挡后形成的飞火颗粒堆,能够加速地表可燃物的点燃过程。利用小尺度风洞实验装置,研究了圆柱形飞火颗粒的数量对颗粒下方热流和松针点燃特性的影响。实验风速为0 m/s~4 m/s,松针含水率为7.75%,木质飞火颗粒数量为1个~5个。结果表明,随着颗粒数量的增加,较大风速下的飞火颗粒平均峰值热流增长更为显著。飞火颗粒热流持续时间随风速增大而减小,但随颗粒数量的变化较小。当风速不变且颗粒数量大于2时,随着颗粒数量的增加,点燃概率有增大的趋势,但点燃延迟时间变化较小。相同颗粒数量下,随着风速的增加,点燃概率有增大趋势,点燃延迟时间有减小趋势。基于Logistic回归模型,建立了不同风速和颗粒数量下松针燃料床点燃概率的预测关系式,预测准确率达78.5%。 |
| 英文摘要: |
| The firebrand piles resulting from the obstruction of forest vegetation could accelerate the ignition of surface fuel. This paper utilized a small-scale wind tunnel experimental facility to investigate the impact of the number of cylindrical firebrands on the heat flux of firebrands and the ignition characteristics of pine needles. The wind speed was 0 m/s~4 m/s, the moisture content of pine needles was 7.75%, and the number of firebrands was 1~5. The results show that as the number of firebrands increases, the average peak heat flux of firebrands at larger wind speeds increases more significantly. The heat flux duration of firebrands decreases with the increase in wind speed, but its variation with the number of firebrands is insignificant. When the wind speed remains unchanged and the number of firebrands exceeds 2, the ignition probability increases roughly, and the variation in ignition delay time is insignificant with the increasing number of firebrands. Under the equal number of firebrands, the ignition probability increases, and the ignition delay time decreases roughly as the wind speed increases. Based on the Logistic regression model, the prediction correlation for the ignition probability of the pine needle fuel bed under different wind speeds and firebrand numbers was established, with a prediction accuracy of 78.5%. |
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