基于Hooke-Jeeves算法的挠性粘接件的高效内聚反演分析

AN EFFECTIVE INVERSE ANALYSIS OF COHESIVE PARAMETERS OF FLEXIBLE ADHESIVE JOINTS BASED ON THE HOOKE-JEEVES ALGORITHM

该文发展了一种标准试验与直接搜索算法相结合的反演分析方法,用于挠性粘接件的界面内聚力模型的参数获取。实验部分中通过单轴拉伸实验和双悬臂夹层梁实验来获取粘接强度和断裂能,内聚能采用了有效裂纹长度的概念来修正裂纹尖端塑性变形的影响。反演分析是以实验值为初始值,采用Hooke-Jeeves优化算法来实施的。整个反演分析过程是通过自动执行的程序来完成,程序包含Hooke-Jeeves优化算法、结果数据库、有限元软件的调用和目标函数的构建四大模块构成。通过推进剂/绝热层粘接试样来验证了反演分析方法的准确与高效性,结果表明该方法相比基于全局优化算法的反演分析方法具有更高的计算效率。

An inverse analysis combining standard experiments and the direct search algorithm is developed in this study to determine cohesive parameters of flexible adhesive joints. The experimental part includes the uniaxial tensile tests and the double cantilever sandwich beam tests, which are used to obtain fracture parameters. The concept of effective crack length is used to eliminate the effects of plastic deformation on the fracture energy. The inverse analysis, taking the experimental values as initial input, is based on the Hooke-Jeeves algorithm. The entire analysis is automatically performed by running a program, which incorporates the Hooke-Jeeves algorithm, the resultant database, calling the Finite Element Method(FEM) software and the construction of objective functions. The credibility and accuracy of the proposed inverse analysis is confirmed by propellant/insulation tests. Results indicate that this method is more computationally efficient than other inverse analysis methods using global optimization algorithms.