2020
DOI: 10.48550/arxiv.2009.12214
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Anomalous Nonlinear Dynamics Behavior of Fractional Viscoelastic Structures

Abstract: Fractional models and their parameters are sensitive to changes in the intrinsic micro-structures of anomalous materials. We investigate how such physics-informed models propagate the evolving anomalous rheology to the nonlinear dynamics of mechanical systems. In particular, we analyze the vibration of a fractional, geometrically nonlinear viscoelastic cantilever beam, under base excitation and free vibration, where the viscoelastic response is general through a distributed-order fractional model. We employ Ha… Show more

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“…Unlike the integer-order (standard) differential operators, fractional-order operators are fundamentally defined based on heavy-tailed stochastic processes; therefore, they are inherently nonlocal operators and are suitable to incorporate long-range interactions in a mathematical modeling [28,29]. Among the wide-range of applications employing the fractional-order operators, modeling of visco-elasto-plastic materials for structural analysis [30], their nonlinear vibration analysis [31], memory-dependent modeling of damage mechanics [32], and nonlocal elasticity modeling of solids [33] are listed among the outstanding works reported in the literature.…”
Section: Introductionmentioning
confidence: 99%
“…Unlike the integer-order (standard) differential operators, fractional-order operators are fundamentally defined based on heavy-tailed stochastic processes; therefore, they are inherently nonlocal operators and are suitable to incorporate long-range interactions in a mathematical modeling [28,29]. Among the wide-range of applications employing the fractional-order operators, modeling of visco-elasto-plastic materials for structural analysis [30], their nonlinear vibration analysis [31], memory-dependent modeling of damage mechanics [32], and nonlocal elasticity modeling of solids [33] are listed among the outstanding works reported in the literature.…”
Section: Introductionmentioning
confidence: 99%