When using optical fiber sensors to monitor the health of carbon fiber composite structures, it is necessary to study the optimal arrangement of fiber optic sensors on composite structures. According to the performance characteristics of the composite structure, a finite element simulation model was constructed, and the weak position and modal mode shape matrix of the model were obtained by analyzing the modal changes of the model. Based on the Modal Assurance Criterion (MAC) criterion, the modal order and the number of sensors are optimized, and the target modal matrix required for sensor arrangement is obtained. Finally, based on the improved Gray Wolf Optimizer (GWO), an optimal arrangement model of optical fiber sensor was proposed, and the optimal arrangement scheme of the sensor was obtained.
In order to solve the problem of fragility of optical fibers, the extraction mode and extraction protection of the lead-out section of the optical fiber embedded in carbon fiber composite material was studied. The fsFBG sensor was embedded into the carbon fiber composite laminate by prepreg laminates manual laying, and the carbon fiber composite material was formed using a vacuum bag-assisted molding method in a heated curing oven. During the test, the fsFBG sensor was laid axially at different angles to the carbon fiber filaments in the unidirectional prepreg laminates, and embedded between the layers of carbon fiber composite, and the cross-section of the molded material was observed through the microscope, and it was found that when the sensor axially was parallel to the carbon fiber filaments, the resin-rich area around the fiber was the smallest. The research conclusions can provide a certain technical reference for the implementation of optical fiber detection of composite material.
A low-speed impact positioning technique for composite laminates based on wavelet packet analysis theory is suggested to meet the structural health monitoring demands of aerospace carbon fiber composites. The impact response signal is obtained using this way via the fsFBG sensor. The wavelet packet energy spectrum is extracted using wavelet packet analysis to create the impact point eigenvector and impact position information matrix. The maximal inner product is used to determine the composite laminates' low-speed impact location. In this research, fsFBG sensors are mounted on the surface of carbon fiber composite laminates, impact points in the center region are divided, low-speed impact tests are performed on each impact point, and an algorithm is used to forecast the position of the impact point is developed. The results of the tests reveal that this technology can precisely determine the low-speed impact location of carbon fiber composite laminates.
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