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March 4, 2026Journal of low frequency noise, vibration and active control0 citationsOpen Access

Analytical approximation and dynamic response of the driven cubic–quintic Duffing oscillator

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RWRania WannanPalestine Technical University - KadoorieOFOlivia FloreaTransylvania University of BrașovJAJihad AsadPalestine Technical University - Kadoorie

Key Points

  • This research aims to understand the dynamic behavior of a driven cubic-quintic Duffing oscillator by using semi-analytical methods.
  • Utilized two semi-analytical techniques: HPM and Ms-DTM.
  • Derived approximate solutions as infinite power series.
  • Validated accuracy with numerical integration through MATLAB’s ode45.
  • Findings show excellent agreement among analytical and numerical methods.
  • Demonstrated consistent displacement and velocity behavior under harmonic excitation.
  • Revealed frequency shifts related to nonlinear stiffness and amplitude variations.

Abstract

This study investigates the dynamic behavior of a periodically driven cubic–quintic Duffing oscillator, an extended form of the classical Duffing system that accounts for stronger nonlinear stiffness effects. The motivation lies in understanding nonlinear oscillations at large amplitudes, where classical analytical approaches often fail. To address this, two semi-analytical techniques—HPM and Ms-DTM—are employed to derive approximate solutions expressed as infinite power series. The accuracy and convergence of these methods are validated through comparison with numerical integration results obtained using MATLAB’s ode45 solver. Excellent agreement among the three approaches confirms the reliability of both HPM and Ms-DTM in capturing the system’s nonlinear response. The comparative analysis reveals consistent displacement, velocity, and phase behavior, including frequency shifts due to nonlinear stiffness and amplitude variations under harmonic excitation. These findings demonstrate that HPM and Ms-DTM provide efficient and accurate tools for modeling complex nonlinear oscillatory systems.

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Cite This Study

Wannan et al. (2026) studied this question.

synapsesocial.com/papers/69a7cd1dd48f933b5eed91a8https://doi.org/10.1177/14613484261429146
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