基于FBG传感网络和载荷-应变线性叠加的机翼变形检测与载荷识别OA

As a key structural component in an aerial vehicle,the loads and deformations generated by the wing during its service life are an important basis for evaluating its structural performance.However,due to the complexity of the flight environment and the limitation of the sensor arrangement space,it is challenging to directly measure the deformation and load information of the wing structure.Therefore,methods for load identification and deformation reconstruction based on strain information have become a hot research topic.Existing methods such as the inverse finite element method,Ko displacement theory and modal superposition method are able to realize deformation reconstruction,but they are slightly insufficient in multiple load identification accuracy.For this reason,this paper proposes an innovative method that combines the strain information acquired by FBG sensors with the load-linear superposition method,which overcomes the limitations of the traditional methods and is not only able to realize deformation reconstruction,but also able to identify the loads borne by the wing.By establishing a finite element model,this paper carries out simulation and experimental validation for the single-load and double-load cases.The results show that the relative errors of the reconstructed displacements and loads with the actual measured data are kept within 4％under various working conditions.The method proposed in this paper realizes the deformation monitoring and load identification of the wing structure at the same time,which provides a new idea for the condition monitoring research of the wing structure.