Aircraft Structural Health Detection Based On Fiber Bragg Grating

Aircraft, as a convenient traffic tool, has been widely applied in recent years. Its stability and security is particularly important to personal property safety. So there has been more and more aircraft structural health detection in recent years recently. This paper aims at researching a distributed sensor network to test the form and health status of the plane. The main research object is wing structure. This paper mainly uses simulation and experiment methods. The main research work is as follows.(1) Analyzed the principle of strain testing using fiber bragg grating. Researched wing's main stress components- wing beam, to know its strain distribution and the relationship between structural strain and curvature. This paper used finite element method to simulate wing beam strain and deformation under different load. According to the deformation reconstruction algorithm designed, it accurately got the wing beam deformation. And also an experimental system was set up to detect the deformation of a carbon fiber simplified wing beam. Both the methods got high accuracy.(2) Researched wing's main force applied component, wing skin, to know its deformation. Based on the finite element method simulation,the strain distribution on wing skin through net node is got. According to deformation reconstruction algorithm designed, it obtained the skin deformation accurately. An experimental system was designed to verify the theory and after that this paper analyzes the data error. The paper uses PZT array ultrasonic damage location method, designed a new type elliptical localization algorithm based on anisotropy of composite material. The positioning error is decreased from 29.8% to 8.87%, It prepares for subsequent photoacoustic damage location.(3) It studied wing stress distribution under flow strength, mainly focuses on the stress distribution of the chord and lift variation trend along with the change of attack Angle. In combination of the finite element simulation and experimental method, a good detection trend is got finally. The actual test results and simulation results were in good matching. The actual test results proved the feasibility and accuracy of the design method presented in this paper.By the relevant wing state detection talked about above, this paper illustrates the aircraft health detection with high precision and frequency response. At the same time, focused on the above experimental system, based on Labview software platform, this paper designs a real-time detection program and realize visual detection.