Dynamic Damage Monitoring System For Fiber Grating Sensor

The large construction like space shuttle and a large bridge play a more and more important role. During service, these engineering structures may occur damage, if these injuries can not be detected in time, it could cause serious accidents. The intelligent structural health monitoring system based on the fiber Bragg grating (FBG) sensor has been widely used in the civil engineering and aerospace fields because of its outstanding advantages. Therefore, this paper is based on the fiber Bragg grating sensor for dynamic damage monitoring system. The main content of the paper includes the following sections.(1) The background of this study is discussed in this paper. The intelligent structure health monitoring system is introduced. The composition of intelligent structural health monitoring system and the intelligent structure health monitoring system based on Fiber Bragg grating sensors are summarized.. The research status of dynamic damage monitoring system based on Fiber Bragg grating sensor is analyzed. Leading to the topic, and the research ideas and content of this paper are described.(2) The reflection spectrum of fiber grating sensor is simulated based on OptiFDTD professional simulation sofrware.The basic working principle of fiber Bragg grating sensor is discussed.The reflection spectrum of fiber grating sensor under different strain is simulated. After comparing, it can be found that the impact load can be identified based on the deviation of the center wavelength of the fiber grating sensor.(3) The impact test of aluminum alloy plate is carried out based on Workbench ANSYS. The basic situation of Workbench ANSYS.the acquisition method of impact, the modal simulation analysis of aluminum alloy plate structure, and the transient dynamic analysis of aluminum alloy plate structure is introduced in this paper. The impact test of aluminum alloy plate is carried out, and the corresponding impact is obtained.lt provided the basis for the follow-up experiment on the sensor placement.(4) The impact test is carried out on the aluminum alloy plate structure. The wavelet analysis and wavelet packet transform theory are introduced in this paper. The. wavelet packet transform is used to extract the data from the impact test data. It is found that when the impact point is same, the different sensors to collect the signal is different, the impact point, the same sensor to collect the data is different, the characteristics of the wavelet packet transform is different. The different wavelet packet transform can be used as a feature to identify the location. The principle of support vector machine, the principle of support vector regression machine and the parameter optimization method of support vector machine is introduced in this paper. The residual data are predicted by the model of training, and the purpose of damage identification is achieved.(5) The content and methods of this paper are summarized. The existing problems are summarized in this paper. And the research prospects of the subject are prospected.