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 identif...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.展开更多
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 pr...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%.展开更多
基金This work was supported by the Chinese National Natural Science Foundation （Grant No. 51275239, 11402112）, the Aerospace CAST Innovation Foundation, the Cooperative Innovation Foundation of Jiangsu Province （Grant No. 2014003-01）, the Postdoctoral Science Foundation （Grant No. 20090461116）, the Aviation Science Foundation （Grant No. 20125652055）, the Doctor Research Foundation （Grant No. 20123218110003）. We also thank the State Key Laboratory of Mechanics and Control of Mechanical Structures of Nanjing University of Aeronautics and Astronautics.
文摘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.
基金The authors are grateful for the financial support from the National Natural Science Foundation of China(NSFC)(Grant No.51775400).
文摘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%.
