中文摘要：

针对传统电测法在复合材料参数测定中易受环境干扰等问题，提出一种基于数字图像相关（digitalimagecorrelation，DIC）技术的车用复合材料参数反演方法。首先通过DIC技术获得复合材料试样的全场位移场，结合有限元仿真，以测量值与仿真值之间的误差为目标函数，构建反问题模型。采用遗传算法和序列二次规划法相结合的策略对材料参数进行反求，获得能表征复合材料真实材料参数的最优值。试验表明，基于DIC技术的反演方法对未知参数在较大区间下具有较强的识别能力，且能一次性且完整地反演复合材料的本构参数，反演精度和计算效率都有一定优势。

英文摘要：

For getting the constitutive parameters of composite material, comparing with the traditional electrical measuring method, this paper proposes an parameter estimation technique based on digital image correlation technique （DIC）, which solves the easily interfered issue at the time of measuring parameters. In view of the carbon fiber composites, which is used the body and chassis of vehicles, as the subject of study. Firstly, the parameter estimation technique obtains the whole displacement field of the composite specimens with the test apparatuses of DIC. Then, combining with finite element method （ FEM）, the parameter estimation problem model is established through the error function between the measured and the simulated results. Finally, in order to find the optimal result, the paper combines the genetic algorithm （GA） with the sequential quadratic programming （SQP） to represent the real composite material constitutive parameters. The experiment shows that the ability of the proposed method is strong to identify the material constitutive parameters, especially the parameters in a larger interval range. Besides, the approach could identify complete composite material parameters by once, and has the superior precision and efficiency.