Fractional Modeling and Dynamics Analysis of Complex Systems

A special issue of Fractal and Fractional (ISSN 2504-3110). This special issue belongs to the section "Numerical and Computational Methods".

Deadline for manuscript submissions: 31 December 2026 | Viewed by 740

Special Issue Editors

Institute of Vibration Engineering, Northwestern Polytechnical University, Xi’an 710072, China
Interests: dynamical analysis; frictional modeling; nonlinear systems; uncertainty quantifications; computational methods

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Guest Editor
School of Mechanics and Transportation Engineering, Northwestern Polytechnical University, Xi’an 710129, China
Interests: nonlinear dynamics; vibration control; uncertainty propagation; fractional systems

Special Issue Information

Dear Colleagues,

The study of fractional elements is critical for accurate understanding of complex dynamical systems, including fractional order modeling and solution methods, dynamics analyses and uncertainty quantifications. For example, fractional damping plays a crucial role in the viscoelastic characteristics of magnetorheological fluid and the vibration responses and fault diagnosis of rotating systems. Additionally, uncertainty is ubiquitous in both linear and nonlinear dynamical systems. The joint development involving fractional modeling and uncertainty handling is a challenging task, especially where the nonlinearity dominates. Cutting-edge approaches using interval arithmetic, statistical analysis and probability density evolution as well as surrogate modeling that have a good balance between efficiency and accuracy are required.

This Special Issue is dedicated to bringing together the most recent advances in newly developed methods, numerical simulations, uncertainty propagations and stability analyses. We invite high-quality original works and review papers on both theoretical and experimental studies. Applications on various dynamical systems in different disciplines are also welcome. Specifically, we welcome original research articles and review papers that address, but are not limited to, the following topics:

  • Fractional-order modeling of complex dynamical systems;
  • Numerical and analytical methods for solution of fractional order systems;
  • Dynamics characteristics of complex fractional order system with new insights;
  • Stability criteria establishment and threshold evolutions;
  • Experimental investigations of fractional systems;
  • Applications of fractional analysis to engineering systems in various disciplines;
  • Efficiency enhancement in solving fractional order equations;
  • Uncertainty propagations in dynamical systems with fractional elements;
  • Surrogate modeling in fractional and uncertain systems;
  • Statistical analysis and emerging methods in complex fractional systems;
  • Machine learning applied to modeling, solution and stability calculations.

Dr. Chao Fu
Dr. Yunpeng Zhu
Dr. Kuan Lu
Guest Editors

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Keywords

  • fractional order modeling
  • complex dynamical systems
  • statistical characteristics
  • computational methods of fractional mechanics
  • fractional order stiffness and damping effects in mechanical systems
  • propagation of uncertainty in complex dynamical systems
  • fractal surface topology in contact mechanics
  • development of solution methods for fractional nonlinear systems

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Published Papers (2 papers)

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Research

19 pages, 2645 KB  
Article
A Cyclic Constitutive Model Based on Fractional Derivative for Rate-Dependent Ratcheting of EA4T Axle Steel
by Xuehong Ren, Chenzhuo Qu, Jiujian Wang, Wenjie Zhao, Shaopu Yang and Yongqiang Liu
Fractal Fract. 2026, 10(5), 325; https://doi.org/10.3390/fractalfract10050325 - 11 May 2026
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Abstract
Within the framework of elastoplastic theory, this study develops and improves a fractional cyclic constitutive model capable of describing rate-dependent ratcheting behavior by defining the ratcheting parameter as a function of the cumulative plastic strain rate and describing the plastic strain rate and [...] Read more.
Within the framework of elastoplastic theory, this study develops and improves a fractional cyclic constitutive model capable of describing rate-dependent ratcheting behavior by defining the ratcheting parameter as a function of the cumulative plastic strain rate and describing the plastic strain rate and back stress in fractional-order forms. Additionally, a brief introduction is provided on the numerical implementation process and parameter determination method of this model. The newly improved fractional-order model was subsequently employed to simulate and predict the cyclic deformation of the cyclically softening material, EA4T axle steel. The following conclusions can be drawn: owing to the incorporation of fractional calculus, the newly improved model can predict both the monotonic tensile curves and the cyclic softening behavior of materials under different strain rates—capabilities that are not achievable with conventional elastic–plastic cyclic constitutive models. By defining the ratcheting parameter as a function of the cumulative plastic strain rate, the improved fractional model can reasonably predict the evolution laws of both uniaxial and non-proportional multiaxial ratcheting. By describing the evolution of plastic strain rate and back stress in fractional-order forms, the newly improved fractional model can provide a relatively accurate prediction of the rate-dependent uniaxial and multiaxial ratcheting behaviors. Full article
(This article belongs to the Special Issue Fractional Modeling and Dynamics Analysis of Complex Systems)
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27 pages, 1676 KB  
Article
A Space–Time Spectral Method for Nonlinear Fractional Convection–Diffusion Equations with Viscosity Terms
by Zhe Yu, Shanshan Guo, Xinming Zhang and Baohe Zhang
Fractal Fract. 2026, 10(5), 324; https://doi.org/10.3390/fractalfract10050324 - 10 May 2026
Viewed by 230
Abstract
We develop a high-order space-time spectral method for nonlinear convection–diffusion equations with a Riemann–Liouville time-fractional derivative and a spectrally defined space-fractional Laplacian. The spatial discretization uses a Fourier spectral method that diagonalizes the fractional Laplacian under periodic boundary conditions. The temporal discretization employs [...] Read more.
We develop a high-order space-time spectral method for nonlinear convection–diffusion equations with a Riemann–Liouville time-fractional derivative and a spectrally defined space-fractional Laplacian. The spatial discretization uses a Fourier spectral method that diagonalizes the fractional Laplacian under periodic boundary conditions. The temporal discretization employs a Petrov–Galerkin method based on generalized Jacobi functions which capture the initial singularity exactly. The nonlinear convection term is treated pseudo-spectrally, and the resulting algebraic system is solved with a damped Newton iteration. Rigorous error analysis proves exponential convergence in both space and time. Numerical experiments for various fractional orders confirm the spectral accuracy. Simulations of the fractional Burgers equation demonstrate that increasing the viscosity enhances diffusion and stabilizes the solution, while a nonlinear coefficient that significantly exceeds the viscosity leads to error growth over long time intervals. The method provides an efficient and accurate tool for simulating anomalous transport phenomena. Full article
(This article belongs to the Special Issue Fractional Modeling and Dynamics Analysis of Complex Systems)
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