摘要
针对后向散射光强特性难以探测远场微气泡尾流的问题,利用矢量Monte Carlo方法对气泡尾流的多层多分散模型中线偏振光入射时后向散射的光强和线偏振度信号进行了仿真。验证了光强信号的"双尖峰"特性,同时发现了线偏振度信号的"双下降速率"特性,根据此特性提出了气泡尾流的线偏振度探测法。与常用的光强探测法相比,该方法的探测距离更远,气泡半径更小,是一种有效的远场微气泡尾流探测法。
In a proposed multilayer poly-disperse model of wake with bubbles, the intensity and linear polarization degree of incident linear depolarized light backscattering signal were simulated with vector Monte Carlo method to solve the problem that distant wake with microbubbles is difficult to detect by light intensity of backscattering. The results validated ＂two peak＂ character in the intensity signal curve caused by shape wake with bubbles, and predicted ＂two falling speed＂ character in the degree of polarization curve caused by the same reason. The propriety of the degree of polarization curve was used to detect shape wake with bubbles as a new method. Compared with the usual method using intensity signal on different distances of wake and radii of bubbles, the new method can detect wake with further distance and lower extinction coefficient of bubbles. It can be used as a more effective method to detect distant wake with rnicrobubbles.
出处
《红外与激光工程》
EI
CSCD
北大核心
2012年第6期1485-1489,共5页
Infrared and Laser Engineering
基金
国防预研基金(51302050302)
关键词
气泡尾流
后向散射
MonteCarlo方法
线偏振度
光强
wake with bubbles
backscattering
Monte Carlo method
degree of linear polarization
light intensity
