多光谱测量材料冲击辐射特性的温度反演算法

Temperature Inversion Algorithm for Multi-Spectral Measurement of Material Shock Radiation Characteristics

材料的冲击辐射温度是高温-高压作用下状态方程研究的重要物理参量,对武器研制、科学研究和工业制造意义重大。针对冲击辐射温度具有瞬时非接触、测量环境噪声复杂、温度反演发射率不可测等特点,设计了一种新的温度反演方法,以提高温度获取精度。根据约束优化理论,将乘子罚函数法与粒子群算法相结合,实现两种模型的串联,并改进粒子群-乘子罚函数算法。结果表明该混合模型求解方法充分结合了两种单一算法的优势,提高了冲击辐射测试数据的温度反演精度与运算效率,为研究材料冲击辐射的真实温度提供了保障。

The shock radiation temperature of materials is an important physical parameter for the study of equation of state under the action of high temperature and high pressure,which is of great significance to weapon development,scientific research,and industrial manufacturing.Aiming at the characteristics of instantaneous noncontact,complex measurement environmental noise,and unmeasurable emissivity inverted by temperature,a new temperature inversion method is designed to improve the accuracy of temperature acquisition.According to the constrained optimization theory,the multiplier penalty function method and particle swarm optimization(PSO)algorithm are combined to realize the series of the two models,and the PSO-multiplier penalty function algorithm is improved.The results show that the hybrid model solving method fully combines the advantages of the two single algorithms and improves the temperature inversion accuracy and operation efficiency of the test data of impact radiation.It provides a guarantee for studying the real temperature of material under impact radiation.