针对健康监测系统中不合理的传感器布置将影响传感器数据采集的有效性,降低监测系统的精度,以基于光纤Bragg光栅(FBG)传感器网络的结构健康监测系统为研究对象,采用逐步积累法,对系统中传感器网络的优化排布方法进行了研究。首先采用Ansys力学仿真软件建立了试验件的有限元模型并进行了加载试验,然后采用仿真获得的数据对传感器排布位置进行了优化,最后按照仿真研究获得的传感器优化位置在试验件上进行了试验研究。结果表明,试验同仿真结果具有很好的一致性,相对于原始传感器网络的排布方案,在相同的系统监测精度下,优化后的传感器排布方案可以采用更少的传感器;如果采用相同数量的传感器,优化后的传感器排布方案可以获得更高的监测精度。
If sensors are arranged unreasonable in the monitoring system, the data validity collected by sensors will be affected, and the accuracy of the damage identification will be reduced. Based on the above consideration,an airplane structural health monitoring system based on the fiber Bragg grating (FBG) sensor network is taken as research object, the gradual accumulation method and support vector regression algorithm are used to optimize the arrangement and numbers of the fiber Bragg grating sensors in this paper. Firstly,the finite element model of the airplane structure is built by using Ansys mechanics simulation software, and certain loads are applied on different positions of the airplane structure. Secondly,the arrangement of the fiber Bragg grating sensors is optimized with the simulation data. Finally, the experimental system is built to verify the simulation results. The results indicate that the experiment is consistent with the simulation,corresponding to the initial arrangement mode of the fiber Bragg grating sensor network. The optimized fiber Bragg grating sensor network can adopt relatively few fiber Bragg grating sensors in the same monitoring system with predicting accuracy. Simultanely, with the same number of fiber Bragg grating sensors, the optimized fiber Bragg grating sensor network can obtain the higher monitoring accuracy.