Background <p>Nonlinear oscillatory systems with fractal properties and variable stiffness present analytical challenges, particularly in stability analysis and resonance characterization.</p> Objective <p>This study applies the Renormalization Method (RM) to determine system frequency and simplify the analysis of fractal 2DOF nonlinear oscillatory systems by converting non-autonomous forms into equivalent autonomous ones.</p> Methods <p>The RM, which accommodates unrestricted excitation amplitude, was combined with the two-scale methodology and the Harmonic Equivalent Linearization Approach (HELA). Mean square forms were employed to disentangle nonlinear interactions, while the internal resonance technique was incorporated to study coupling effects.</p> Results <p>The proposed framework replicated conventional approaches and enhanced nonlinear interaction analysis. Numerical validations demonstrated that decreasing the fractal dimension value exerts a stabilizing effect on system dynamics.</p> Conclusion <p>The integrated RM–HELA approach provides a robust tool for predicting, simplifying, and controlling dynamic responses in complex nonlinear systems, with strong applicability in physics and engineering.</p>

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Renormalization Method for Variable Stiffness in Fractal 2DOF Nonlinear Parametric Oscillators

  • Yusry O. El-Dib,
  • Hanan Al-Ghamdi

摘要

Background

Nonlinear oscillatory systems with fractal properties and variable stiffness present analytical challenges, particularly in stability analysis and resonance characterization.

Objective

This study applies the Renormalization Method (RM) to determine system frequency and simplify the analysis of fractal 2DOF nonlinear oscillatory systems by converting non-autonomous forms into equivalent autonomous ones.

Methods

The RM, which accommodates unrestricted excitation amplitude, was combined with the two-scale methodology and the Harmonic Equivalent Linearization Approach (HELA). Mean square forms were employed to disentangle nonlinear interactions, while the internal resonance technique was incorporated to study coupling effects.

Results

The proposed framework replicated conventional approaches and enhanced nonlinear interaction analysis. Numerical validations demonstrated that decreasing the fractal dimension value exerts a stabilizing effect on system dynamics.

Conclusion

The integrated RM–HELA approach provides a robust tool for predicting, simplifying, and controlling dynamic responses in complex nonlinear systems, with strong applicability in physics and engineering.