In this study, the axial buckling behavior of laminated hybrid composite beams was comprehensively investigated using theoretical and numerical approaches. The main objective of the study is to systematically evaluate the buckling performance of hybrid composite beams with different stacking sequences and geometric perforations. For this purpose, a computational program based on Euler and Timoshenko beam theories was developed in the MATLAB environment and used to calculate critical buckling loads for different boundary conditions, stacking sequences, and perforated configurations. The developed program has the characteristics of a package type tool. The accuracy of the program was validated through comparisons with reference studies available in the literature and finite element analyses performed using ANSYS ACP software. Within this framework, four and eight layer symmetric unidirectional and interply hybrid composites reinforced with carbon and aramid fibers were analyzed under clamped free and pinned pinned boundary conditions. The buckling responses of hybrid beams were comparatively evaluated in MATLAB and ANSYS environments. The results demonstrated that the stiffness distribution along the thickness direction governed by the stacking sequence has a decisive influence on the buckling behavior. For the hybrid configuration exhibiting the highest buckling performance, perforated structure analyses were conducted using equal area circular, square, and hexagonal hole geometries. The findings confirmed the reliability of the developed MATLAB program, while also indicating that perforated configurations lead to a reduction in buckling capacity and that circular hole geometries exhibit a more balanced behavior compared to the other geometries. Overall, this study presents a comprehensive theoretical and numerical investigation of the buckling behavior of laminated hybrid composite beams and enables the systematic evaluation of different boundary conditions and stacking sequences through the developed MATLAB program.
İnan et al. (Mon,) studied this question.