![]() ![]() Often, the deformation of these structural components are difficult to be measured directly in operation using photography or laser technology. Inspection, Maintenance and Repair of Composite Material Wind Turbine Blade. Layup Analyzing of a Carbon/Glass Hybrid Composite Wind Turbine Blade Using Finite Element Analysis. Proceedings of SPIE - The International Society for Optical Engineering. Full-field inspection of a wind turbine blade using three-dimensional digital image correlation. The CFRP aircraft wings, propeller blades and wind turbine blades are mostly of the variable thickness structure, whose shapes have requirements on high precision and strong stability since the deformation of the structure will affect their performance and bearing capacity, resulting in significant damage 4 4 LeBlanc B, Niezrecki C, Avitabile P, Chen J, Sherwood J, Hughes S. At present, laminate structure is widely used in military, aerospace and wind power generation fields where quality and noise reduction performance are required. A design of laminated composite plates using graded orthotropic fiber-reinforced composite plies. 3 3 Kumar A, Panda S, Kumar S, Chakraborty D. Design and analysis of a smart graded fiber-reinforced composite laminated plate. ![]() Interfacial characterization, control and modification of carbon fiber reinforced polymer composites. To meet the bearing and weight reduction requirements on different occasions, CFRP laminates often adopt the variable thickness structure, and the thickness can be changed by interrupting one or several layers in a single-layer sheet inside the structure 1 1 Liu L, Jia C, He J, Zhao F, Fan D, Xing L, et al. The comparative analysis between the predicted deflection obtained by neural network reconstruction and the actual measured deflection shows that BP neural network can reconstruct the structural deformation of CFRP laminates within certain error range.ĬFRP laminates deformation reconstruction BP neural network strain fiber grating sensorĬarbon Fiber Reinforced Polymer (CFRP) has the advantages of high specific strength, good damping performance and flexible designability and the CFRP laminate structure is one of the most common structures of CFRP materials. The strain on the surface of CFRP test piece was measured by the fiber grating sensor, and the deformation of the test piece was measured by the laser displacement sensor. In this paper, CFRP test piecs with equal thickness and variable thickness were designed, and the corresponding strain-deformation reconstruction experimental system was constructed. With strain as input and deformation as output, based on a large amount of experimental data, the BP neural network model between strain and deformation is obtained through training. In this paper, aiming at the discontinuous stiffness and strength of the variable laminations within the CFRP laminate structure, the BP neural network is proposed to be applied to the deformation reconstruction of CFRP laminates. The CFRP laminate structure can be designed to adapt to the requirements of different applications through layering of variable thickness. Usually the deformation of these structural components is difficult to be measured directly during operation, but the deformation of the CFRP laminate structure can be reconstructed with strain information. The Carbon Fiber Reinforced Polymer (CFRP) laminate structural components used in the aerospace and military domains require high precision and strong stability. ![]()
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