Scholarlink

<p>Hot particles generated by arc faults are significant ignition sources to Wildland-Urban Interface (WUI) fires. Knowing the characteristics of hot particle distribution is one of the most important parameters to the establishment of safe zones for the prevention of WUI fires. However, the related research is limited. To fill this gap, a comprehensive model which takes the wind as the reference frame was built based on dynamic equations in this paper. In addition, an experimental device was set up to prove the correctness of a special case in this model successfully. Finally, the machine learning was also used to predict the farthest landing distance in this specifical condition. The results predicted by model suggest when there is no wind and the shape of the splashed hot particles is spherical, as the height of the arc increases, the farthest landing distance of the splashed hot particles gradually increases, and eventually stabilizes within a certain range. The main factor determining the farthest landing distance of the splashed hot particles is transformed from the arc height to the air resistance. All these predicted results are consistent with the experimental results obtained. The method proposed by this model, which uses wind as the reference frame, can significantly reduce the computational load in actual operations, providing a reference for subsequent development of more complex kinematic models. Furthermore, by incorporating studies on the ignition thresholds of hot particles in complex scenarios, this kinematical framework can be extended to provide more support for fire safety engineering.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Quantifying the Impact of Arc Fault Height on Hot Particle Distribution in Wildland-Urban Interface Fires: Kinematical Modeling, Experimental and Machine Learning Insights

  • 期刊论文

  • 发表日期：

    2026年4月2日

查看全文
  • Qi-Xian Li,
  • Yi-Xuan Lin,
  • Zi-Hao Chen,
  • Qiang Wang,
  • Yang Gao,
  • Huai-bin Wang,
  • Wen-wei Su,
  • Yan-hong Zhao,
  • Zhen Wei,
  • Yang Li

摘要

Hot particles generated by arc faults are significant ignition sources to Wildland-Urban Interface (WUI) fires. Knowing the characteristics of hot particle distribution is one of the most important parameters to the establishment of safe zones for the prevention of WUI fires. However, the related research is limited. To fill this gap, a comprehensive model which takes the wind as the reference frame was built based on dynamic equations in this paper. In addition, an experimental device was set up to prove the correctness of a special case in this model successfully. Finally, the machine learning was also used to predict the farthest landing distance in this specifical condition. The results predicted by model suggest when there is no wind and the shape of the splashed hot particles is spherical, as the height of the arc increases, the farthest landing distance of the splashed hot particles gradually increases, and eventually stabilizes within a certain range. The main factor determining the farthest landing distance of the splashed hot particles is transformed from the arc height to the air resistance. All these predicted results are consistent with the experimental results obtained. The method proposed by this model, which uses wind as the reference frame, can significantly reduce the computational load in actual operations, providing a reference for subsequent development of more complex kinematic models. Furthermore, by incorporating studies on the ignition thresholds of hot particles in complex scenarios, this kinematical framework can be extended to provide more support for fire safety engineering.