一种基于改进的减缩模型修正方法

提出一种改进的模型修正方法,该方法采用多目标优化技术使得结构的减缩模型与实测结果相吻合。即首先建立一个多目标优化模型,其中包括一个关于单元修正系数的隐式非线性特征方程组,然后通过遗传算法来求解该多目标优化问题,来同时实现模型修正和损伤检测。文中通过对一个悬臂梁的数值仿真,表明本文所提出的方法的有效性,即在较大的测量噪声的情况下,同时具有模型修正和损伤检测两种功能,且较改进前的基于迭代的方法具有更好的噪声鲁棒性。

An Improved Approach for Model Updating

This paper proposed an improved mode updating approach for adjusting structural reduced models to experimental results based on multi-objective optimization techniques. A multi-objective function including implicit non-linear equation sets related to elemental modification coefficients is formed and then be solved for both model updating and damage detection by minimizing the multi-objective optimization problem based on the genetic algorithm. A conventional cantilever beam model is adopted to evaluate the efficiency of the improved approach proposed in this paper. Results demonstrate that this proposed method have the function of both mode updating and damage detection under noised condition and more robust to noise than the unimproved iteration-based method.