Identification of impact force for smart composite stiffened panels

Abstract

In this work, a new methodology is presented for reconstructing the impact force history using Artificial Neural Networks (ANNs) and spectral components of sensor data recorded by piezoceramic sensors. A large set of data, required for training the ANNs, were generated by using an efficient nonlinear Finite Element (FE) model of a sensorised composite stiffened panel. Impact experiments were performed on a composite plate equipped with surface-mounted piezoceramic sensors to validate the numerical modelling approach. Using the FE model of the panel, data were generated for impacts which are likely to occure during life-time of an aircraft, containing large mass (e.g. dropping tool) and small mass (e.g. debris) impacts at various locations, i.e. in bay, on the foot of stringer and over/under stringer. Even though the panel undergoes large deformation during impact (nonlinear response), the established networks predict the impact force history and its peak with reasonable accuracy.

Impact Damage Detection in Composite Plates using a Self-diagnostic Electro-Mechanical Impedance-based Structural Health Monitoring System

“…(9) defined in Ref. 4 and an impact energy 10% higher than the threshold was chosen. The impact was carried out using a drop tower INSTRON CEAST 9350 machine using a hemispherical impactor with a 2.41 kg mass and 20 mm diameter, see Fig.…”

A boundary element model for structural health monitoring using piezoelectric transducers

“…They have been used extensively for the detection of damages and impacts on various types of material and structure [1][2][3][4][5][6][7].…”

Impact-force sparse reconstruction from highly incomplete and inaccurate measurements

“…Numerical experiments including SISO and MISO cases are considered under different noise levels. For SHM, besides impact location, maximum impact-force is closely related to the damage extents in composites [20,21]. Hence, the impact-force magnitude will be quantitatively assessed by the peak relative error between the measured force f measured and the reconstructed force f reconstructed , which is defined as Table 1 gives the simulation parameters of the simply supported rectangular plate.…”