基于遗传算法的辐射特性反向研究方法  

An Inverse Research Method for the Radiation Characteristics Based on Genetic Algorithm

作　　者：赵佳飞[1] 骆仲泱 王辉[1] 倪明江[1] 

机构地区：[1]浙江大学热能工程研究所能源清洁利用国家重点实验室,杭州310027

出　　处：《动力工程》2009年第9期837-840,共4页Power Engineering

基　　金：国家自然科学基金资助项目(50676082)

摘　　要：以辐射传递理论和弥散介质理论为基础,采用Pikaia遗传算法建立了物质辐射特性反向计算模型,该模型方法可以计算物质的辐射特性参数(折射率和吸收因子)、特征频率以及高频介电常数,同时确保计算结果满足Kramers-Kronig关系.通过结合实验对流体水、固体二氧化硅以及二氧化钛薄膜的反向计算分析,证明该模型方法能够准确和快速地计算物质各辐射特性参数,具有广泛的应用价值.Based on the radiative transfer and classical dispersion theory, the inverse calculation model for radiation characteristics of the matter was developed by use of Pikaia genetic algorithm. The model can calculate the radiation characteristic parameters of the matter such as refractive index, absorption factor, characteristic frequency and high-frequency dielectric constant. At the same time, the calculated results can satisfy the Kramers-Kronig relations. By combining test with inverse calculation and analysis for water, solid silicon dioxide and titania film, it is demonstrated that the model can calculate the radiation characteristic parameters accurately and quickly, and has extensive application value.

关 键 词：辐射 遗传算法 折射率 吸收因子 特征频率 反向计算方法 

分 类 号：TK124[动力工程及工程热物理—工程热物理]