M. Yaylı

Integrating semi-analytical modeling and machine learning for dynamic behavior prediction of short fiber reinforced viscoelastic microbeams

In this study, an innovative approach combining semi-analytical modeling with machine learning-based prediction methods is proposed to analyze the dynamic behavior of short fiber-reinforced viscoelastic microbeams. Developed based on the modified couple stress theory, the model examined the vibration characteristics...

Size-dependent bending, buckling, and vibration behavior of a nanobeam with periodically distributed holes via a PINN-based method

Longitudinal vibrations of bi-directionally functionally graded microbars with deformable boundaries

The present research focuses on the longitudinal vibration analysis of a microbar resting on an elastic foundation, incorporating deformable (spring-based) boundary conditions. The material is modeled as functionally graded in two spatial directions. The governing equation for the axial vibration of the microbar is der...