Mikailalsys Journal of Mathematics and Statistics
Vol 4 No 1 (2026): Mikailalsys Journal of Mathematics and Statistics

Development of a Predictor-Corrector Algorithm for the Numerical Solution of the Time-Fractional Vibration Equation

Iyanda, Falade Kazeem (Unknown)
Dikko, Dauda Alani (Unknown)
Adefemi, Adeyemo Kolawole (Unknown)
Akeem, Adepoju Ajibola (Unknown)
Muhammad, Muhammad Yusuf (Unknown)
Jemilu, Shehu (Unknown)



Article Info

Publish Date
17 Nov 2025

Abstract

This study employs a predictor–corrector approach to solve the time-fractional vibration equation governing the transverse deflection of a cable of length L fixed at both ends. The model incorporates the Riemann–Liouville time-fractional derivative to accurately represent memory effects and damping behavior characteristic of composite and viscoelastic materials. Spatial discretization is performed using a finite difference method, while the temporal fractional derivative is approximated through a carefully formulated predictor–corrector scheme. This technique effectively addresses the initial conditions and captures the nonlocal temporal dynamics introduced by the fractional derivative. Numerical experiments demonstrate that the proposed method is accurate, stable, and computationally efficient in simulating damped vibrations in elastic and composite cables. By offering a reliable numerical framework, the approach enables more precise analysis of vibrating systems with memory effects and material heterogeneity, thereby contributing to improved modeling and design in engineering applications involving time-dependent mechanical behavior.

Copyrights © 2026






Journal Info

Abbrev

MJMS

Publisher

Subject

Engineering Mathematics Mechanical Engineering

Description

The journal contains scientific articles covering topics such as mathematical theory, statistical methods, the application of mathematics in various disciplines, and statistical data analysis. The primary objective of this journal is to promote a better understanding of mathematical and statistical ...