复杂云雾场的爆轰超压分布规律研究

To investigate the relationship between the peak overpressure of fuel detonation and the scaled distance under different concentration conditions in a complex cloud field, and to provide theoretical support for determining safety distances and protective design, this study establishes a numerical calculation method for the detonation process of propylene oxide fuel based on a linear concentration distribution. By analyzing the temporal evolution of overpressure under various fuel concentration distributions, this study systematically explores the relationship between peak overpressure and scaled distance. The results indicate that in both complex cloud fields with a linear concentration distribution and simple cloud fields with a uniform concentration distribution, the relationship between peak overpressure and scaled distance can be accurately represented by a polynomial function. When the average concentration of the cloud field is 0. 2 kg / m³ , the tertiary damage radius varies significantly under different fuel concentration distributions. The cloud field with a uniform concentration distribution exhibits the largest damage radius, recording values of 3. 63 m / kg¹ / ³ , 3. 19 m / kg¹ / ³ , and 2. 72 m / kg¹ / ³ , which are considered as reference values. In contrast, when the concentration gradient is - 3 kg / m³ , the damage radii are the smallest, reflecting reductions of 6. 99%, 8. 78%, and 11. 57% relative to the reference values. Furthermore, when the concentration gradient falls within the range of (- 1. 995, 1. 5) kg / m³ , the reduction in damage radius remains within 5% . This suggests that under such conditions, the cloud field can be effectively approximated as a uniform concentration distribution for practical engineering applications. These findings provide valuable insights into the effects of concentration distribution on fuel detonation characteristics in cloud environments. They contribute to explosion safety research by offering theoretical guidance for risk assessment and protective design strategies. Additionally, the results enhance the understanding of detonation behavior under varying concentration distributions, which is crucial for developing safety standards and explosion mitigation measures in both industrial and defense applications.