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A novel approach to nonlinear variable-order fractional viscoelasticity
M Di Paola1, G Alotta2, A Burlon2
1Department of Engineering (DI), University of Palermo, Viale delle Scienze Ed. 8, 90128 Palermo, Italy.
This study presents a new method for analyzing nonlinear viscoelastic materials with changing fractional orders. The approach adapts the Boltzmann superposition principle for time-varying fractional calculus, enabling accurate stress and strain calculations.
Area of Science:
- Materials Science
- Applied Mathematics
- Nonlinear Dynamics
Background:
- Fractional calculus is used to model viscoelastic materials.
- The Boltzmann superposition principle is fundamental for linear viscoelasticity.
- Time-dependent fractional orders pose challenges to standard modeling due to the principle's limitations.
Purpose of the Study:
- To develop a novel approach for analyzing nonlinear viscoelastic behavior in systems with variable time-dependent fractional orders.
- To address the limitations of the standard Boltzmann superposition principle when the fractional order changes over time.
- To provide a numerically implementable method for calculating stress and strain responses in such systems.
Main Methods:
- A novel approach is proposed by applying the Boltzmann superposition principle to an equivalent system.
- The equivalent system is constructed at each time instant, considering the instantaneous fractional order and prior responses.
- The method is designed for straightforward numerical implementation.
Main Results:
- The proposed method successfully derives system responses for fractional systems with time-varying fractional orders.
- It allows for the calculation of stress or strain responses.
- The approach is validated for its applicability in complex material modeling.
Conclusions:
- The developed method offers a robust solution for modeling nonlinear viscoelasticity with dynamic fractional orders.
- This work extends the applicability of fractional calculus in advanced materials modeling.
- The numerical implementation facilitates practical applications in engineering and material science.
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