荷载模糊模式识别中的应变传感器优化布置

Optimum Strain Gauges Distribution for Loading Identification Following Fuzzy Pattern Recognition and Hybrid Genetic

根据遗传算法的多目标优化方法和结构荷载模糊模式识别的原理,提出了一种应变传感器测点的优化方法.根据各点应变的变异系数和线性相关性,确定了测点的候选集;采用混合遗传算法,对测点的选择进一步优化;以钢牛腿结构为例,进行了模型数值仿真分析.结果表明,采用优化后的测点,钢牛腿结构荷载的大小和作用位置的识别精度得到了很大的提高.

By using the multi-object optimization method based on genetic algorithm and loading identification based on fuzzy pattern recognition, an optimum strain gauges distribution method is presented.According to the variance coefficient and linearity correlation coefficient of the strains, candidate set of key nodes is established. And then the optimization of the key nodes is accomplished by using a hybrid genetic algorithm. At last taking the loading pattern recognition of a steel bracket as example, the structure model is analyzed. Results show that the accuracy of the loading identification has been improved significantly by using the strains of optimized key nodes.