Author Affiliations
Abstract
1 Institute of Advanced Material and Manufacturing Technology, Wuhan University of Technology, Wuhan 430070, China
2 Hubei Key Laboratory of Digital Manufacturing, Wuhan University of Technology, Wuhan 430070, China
3 Hubei Provincial Engineering Technology Research Center for Magnetic Suspension, Wuhan University of Technology, Wuhan 430070, China
4 School of Mechanical and Electrical Engineering, Wuhan University of Technology, Wuhan 430070, China
The deformation and reconstruction of the composite propeller under the static load in the laboratory is studied so as to provide the basic research for the deformation and reconstruction of the underwater deformed propeller. The fiber Bragg grating (FBG) sensor is proposed to be used for strain monitoring and deformation reconstruction of the carbon fiber reinforced polymer (CFRP) propeller, and a reconstruction algorithm of structural curvature deformation of the CFRP propeller based on strain information is presented. The reconstruction algorithm is verified by using variable-thickness CFRP laminates in the finite element software. The results show that the relative error of the reconstruction algorithm is within 8%. Then, an experimental system of strain monitoring and deformation reconstruction for the CFRP propeller based on the FBG sensor network is built. The propeller blade is loaded in the form of the cantilever beam, and the blade deformation is reconstructed by the strain measured by the FBG sensor network. Compared with the blade deformation measured by three coordinate scanners, the reconstruction relative error is within 15%.
CFRP propeller variable-thickness CFRP laminates FBG sensor network strain curvature deformation reconstruction Photonic Sensors
2022, 12(4): 220412
光纤布拉格光栅(FBG)传感网络具有功能多样化和规模庞大化的发展趋势，对其可靠性和可扩展性提出了更高的要求。文章提出了一种新颖的基于正方形传感单元(SSU)的多环FBG传感网络，首先分析了光开关在FBG传感网络中的作用；接着描述了SSU网络的构建过程及光在内环与外环中的传输过程；然后设计了一种用于故障修复的远程节点；最后详细分析了链路故障时，该网络的故障修复过程并且定量讨论了其扩展性。结果表明，该网络至少可以修复一个链路故障，同时发生两个故障时，修复效果也比较好，具有很高的可靠性及可扩展性。
光纤布拉格光栅传感网络 光开关 可靠性 可扩展性 FBG sensor network OS reliability scalability
Author Affiliations
Abstract
1 State Key Laboratory of Mechanics and Control of Mechanical Structures, Nanjing University of Aeronautics and Astronautics, Nanjing, 210016, China
2 College of Mechanical and Electrical Engineering, Soochow University, Suzhou, 215021, China
3 Nanjing Jilong Optical Communication Co., Ltd, Nanjing, 210000, China
This study introduces the optimization of the fiber Bragg grating (FBG) network and the load identification. Current researches on the optimal placement and reliability of the FBG network and the static load identification are generally analyzed. And then, the optimal placement of sensors and reliability of the FBG network are studied. Through the analysis of structural response characteristics, the general rules of sensors placement in structural static response parameters monitoring are proposed. The probability calculation is introduced, and the numerical analyses of the FBG sensor network reliability of several simple topologies are given.
Fiber Bragg grating (FBG) sensor network structural health monitoring (SHM) reliability layout optimization topology structure Photonic Sensors
2015, 5(2): 116
