风驱雨与湿热耦合作用下的地面目标表面温度计算模型

Calculation model of surface temperature of ground target under the coupling effect of wind-driven rain and moisture and heat

  • 摘要: 天气环境变幻莫测,阴雨天气更是不可避免,研究地面目标表面热特征可以更好地服务于热红外探测与热红外制导,提高目标定位的准确性。阴雨天气条件下地面目标表面降雨分布受降雨、风力影响;地面背景受透水材料的水分吸收及蒸发带来的潜热影响,致使地面目标表面的热特征具有不确定性。文中将空气流动模型、辐射换热模型、风驱雨模型和湿热耦合模型相结合,在开源平台Open FOAM提出了一种集成考虑风驱雨与湿热耦合的地面目标表面温度计算模型,研究阴雨天气条件下地面目标表面的热特征以及降雨强度和风向对目标表面温度特性的影响。结果表明:利用该集成计算模型计算目标表面温度的模拟值与热电偶实测值变化趋势高度一致,数值计算24 h各表面的平均绝对误差为0.95 K;存在降雨的时刻目标表面的温差较小,受降雨与风向的影响,目标的迎风面因降雨捕获率较高,温度通常低于背风面温度;降雨强度、风速风向发生改变均会影响目标表面降雨捕获率分布,从而影响表面温度特征分布。研究表明该方法具有可靠性和较好的精确性,可为阴雨天气条件下复杂地面目标的热特性分析提供方法支撑。

     

    Abstract:
      Objective  The weather environment is unpredictable, and rainy weather is even more inevitable. Studying the surface thermal characteristics of ground targets can better serve thermal infrared detection and guidance, improving the accuracy of target positioning. Most of the existing research on the thermal and infrared characteristics of ground targets is based on sunny conditions, while few studies have been conducted on the surface temperature characteristics of ground targets under cloudy and rainy conditions. The distribution of rainfall on the surface of ground targets under overcast and rainy weather conditions is affected by rainfall and wind force; The ground background is affected by the latent heat caused by moisture absorption and evaporation of permeable materials, resulting in uncertainty in the thermal characteristics of the ground target surface. Therefore, this paper proposes a calculation model for surface temperature of ground targets that integrates wind-driven rain and moisture heat coupling, and studies the thermal characteristics of surface targets under overcast and rainy weather conditions, as well as the effects of rainfall intensity and wind direction on surface temperature characteristics of targets.
      Methods  In Open FOAM, an open source platform, combining air flow model, radiation heat transfer model, wind-driven rain model, and moisture heat coupling model, a ground target surface temperature calculation model integrating wind-driven rain and moisture heat coupling is established (Fig.2), and the call and coupling process is given (Fig.3). The reliability and accuracy of the integrated model were verified using CUBI model experiments. The calculated temperature curve was similar to the temperature variation trend of the characteristic points on the surface of the CUBI model in the experiment (Fig.9), and the average absolute error was 0.95 K. The calculation model is used to study the thermal characteristics of the surface of a ground target under overcast and rainy weather conditions, as well as the effects of rainfall intensity and wind direction on the temperature characteristics of the target surface (Fig.11, Fig.13).
      Results and Discussions   The simulated value of the target surface temperature calculated by the integrated calculation model has a highly consistent trend with the measured value of the thermocouple, and the average absolute error of each surface during the 24-hour numerical calculation is 0.95 K; At the time of the rainfall, the temperature difference on the target surface is small, and due to the impact of rainfall and wind direction, the temperature on the windward side of the target is usually lower than the temperature on the leeward side due to the high rainfall capture rate; Changes in rainfall intensity, wind speed, and direction will affect the distribution of rainfall capture rate on the target surface (Fig.10, Fig.12), thereby affecting the distribution of surface temperature characteristics.
      Conclusions  In this study, a calculation model of surface temperature of ground targets considering the coupling of wind-driven rain and moisture heat is presented for overcast and rainy weather conditions. This method uses a fully integrated three-dimensional numerical model to study the temperature distribution characteristics of ground targets and backgrounds, fully considering water and heat transfer. The calculation model can provide detailed spatial distributions of velocity, temperature, and humidity, which can be used to study the temperature distribution characteristics of ground targets affected by solar radiation, air humidity, wind speed, and wind direction under complex weather conditions. The model has reliability and good accuracy, and can provide methodological support for the thermal characteristics analysis of complex ground targets under cloudy and rainy weather conditions.

     

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