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Transient response analysis of nonlinear systems under combined nonstationary and stationary noise excitations: An improved complex fractional moment method

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  • Li, Jing
  • Wang, Yongchun
  • Liu, Di

Abstract

This study presents a computational framework for modelling transient responses in nonlinear systems under combined nonstationary and stationary excitations, developing a solution strategy based on the improved complex fractional moment (CFM) method. The investigated single-degree-of-freedom nonlinear stochastic system incorporates nonstationary excitations exhibiting time-evolving statistical characteristics, where temporal variations in power spectral density (PSD) and frequency induce explicit time-dependence in system responses, leading to a nonautonomous Fokker-Planck-Kolmogorov (FPK) equation. The proposed methodology first transforms the original displacement-velocity response formulation into a reduced-order representation of the slow-varying amplitude process through equivalent linearization and stochastic averaging, establishing a nonautonomous amplitude FPK equation. Subsequently, an improved CFM method based on the fifth-order Gauss-Legendre quadrature is introduced to obtain the CFM of the system amplitude and reconstruct the transient probability density function (PDF) through the inverse Mellin transform. Finally, the displacement-velocity response domain of the original system is obtained using the Jacobian mapping, thereby achieving a complete characterization of the system's transient response characteristics. Numerical examples confirm the applicability of the method for various types of nonlinear systems with combined nonstationary and stationary excitations, revealing the coupled effects of structural parameters and excitation characteristics on the statistical behavior of the response. The results demonstrate the method's superior performance in computational accuracy, numerical robustness, and practical engineering applicability, while successfully capturing both the nonstationary characteristics and non-Gaussian statistical properties of the system response.

Suggested Citation

  • Li, Jing & Wang, Yongchun & Liu, Di, 2026. "Transient response analysis of nonlinear systems under combined nonstationary and stationary noise excitations: An improved complex fractional moment method," Chaos, Solitons & Fractals, Elsevier, vol. 202(P1).
  • Handle: RePEc:eee:chsofr:v:202:y:2026:i:p1:s0960077925015036
    DOI: 10.1016/j.chaos.2025.117490
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    References listed on IDEAS

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    1. Alotta, G. & Di Paola, M., 2015. "Probabilistic characterization of nonlinear systems under α-stable white noise via complex fractional moments," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 420(C), pages 265-276.
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