Buckling data trained fuzzy logic for crack detection in composite glass/epoxy laminated beam.

AbstractThe thrust of present research focused on identifying the crack signatures in glass/epoxy laminated composite beams (LCB) through a novel crack-detection technique using buckling data and fuzzy logic. The technique is developed on MATLAB utilizing a hybrid fuzzy inference system (FIS) that combines three membership functions: Gaussian, trapezoidal, and triangular. Critical buckling loads, computed through ABAQUS finite element (FE) simulations, serve as inputs to the FIS. The FIS results show hybridization offer superior accuracy over standalone methods, closely matching the experimental results through INSTRON 8862 Universal Testing Machine (UTM) and presents an effective approach for crack detection in buckling domain. [ABSTRACT FROM AUTHOR]