Research On The Identification Of Aviation Board Structural Loads And FBG Sensing Network Optimization

The fiber optic sensor has such advantages, like stable material, anti-electromagnetic interference,as well as easy to build a distributed monitoring system. so it is suitable for the health monitoring ofthe health status of aviation structural and civil engineering structures. Domestic and foreignresearchers generally accepted fiber optic sensors as the most suitable sensors of distributedmonitoring network constitutes Smart Materials and Structures.Aircraft exposed to various forms loads in work environment, the structure of plate and shell willproduce unforeseen damage. Because in mission mode strong overload and the form of loadedincreasingly complicated, it’s easy to cause the failure of structural strength, and make themechanical properties of aircraft typical bearing components（like airframe、airfoil）droppedsignificantly, directly endangering flight safety. Therefore, we must timely load the loadinginformation accurately, and provide a reliable basis assess to the structural health status andcondition-based maintenance.Study on the optimum arrangement method of the Fiber Bragg Grating sensors and the loadidentification method is of great significance for improving the efficiency, reliability and economy ofthe fiber optic monitoring system. The optimum of the Fiber Bragg Grating network and the loadidentification are researched in this paper. The specific contents of this paper are as follows:Firstly, current research on the optimum arrangement and reliability of the Fiber Bragg Gratingnetwork and the static load identification are summarily analyzed.Secondly, the optimum arrangement of sensors and reliability of the Fiber Bragg Gratingnetwork in the Fiber Bragg Grating network optimum are studied. Through the analysis of structuralresponse characteristics, the general rules of sensors arrangement in structural static responseparameters monitoring is proposed. Probability calculation is introduced in the FBG sensor networkreliability comparison of different topologies, and numerical analysis of the FBG sensor networkreliability of several simple topologies is given.Thirdly, the strain characteristics of board structures under static load is investigated, thesimulation illustration shows strain peak exists along the board structural constraints side, and thepeak position does have some correspondence with the loading position. According to thischaracteristics, an identification method of board structure loaded position based on the strain extremeof constraint edge corresponding position is proposed, and the effectiveness of the proposed method isverified in aluminum alloy Clamped board and composite board. Finally, the concept of force flow method for the study of load identification method aboutirregular board structure is proposed, Static load monitoring methods based on the structure of theboard of the force flow method and the law of force transmission path of the board structure loads areinvestigated, The force flow method detailed study and the method of calculatting load position forirregular board structure is proposed through a large number of simulation analysis, and theeffectiveness of the method is verified by experimental analysis.