1994
DOI: 10.1007/bf00437306
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Fractal rheological models and fractional differential equations for viscoelastic behavior

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Cited by 301 publications
(162 citation statements)
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“…A suitable hierarchical arrangement of springs and dashpots gives rise to spring-pot behaviour (described below), either exactly at all timescales for an infinite tree (Heymans and Bauwens 1994), or in the longterm (or low-frequency) limit for an infinite ladder or infinite Sierpinski gasket (Heymans and Bauwens 1994, Schiessel and Blumen 1993, 1995. In the latter case short-term behaviour is similar to a Maxwell model with one element replaced by a spring-pot.…”
Section: Number Of Initial Conditions Past History and Memorymentioning
confidence: 99%
“…A suitable hierarchical arrangement of springs and dashpots gives rise to spring-pot behaviour (described below), either exactly at all timescales for an infinite tree (Heymans and Bauwens 1994), or in the longterm (or low-frequency) limit for an infinite ladder or infinite Sierpinski gasket (Heymans and Bauwens 1994, Schiessel and Blumen 1993, 1995. In the latter case short-term behaviour is similar to a Maxwell model with one element replaced by a spring-pot.…”
Section: Number Of Initial Conditions Past History and Memorymentioning
confidence: 99%
“…It is formulated by the generalized diffusion equation (1.2), which is solved by a generalized exponential function known as the Mittag-Leffler function. Moreover, it has been found that the same fractional calculus that provides the basis for the fractional molecular diffusion also describes the macroscopic mechanical properties of silkworm silk fibres [18], thus providing a link between molecular dynamical properties and the macroscopic mechanical behaviour inspired by fractal concepts [20]. However, a comprehensive study of the function K a ¼ K a (s) relating the generalized fractional molecular diffusion coefficient to the applied strain s on the fibres is still missing.…”
Section: Introductionmentioning
confidence: 99%
“…is a solution of (8), then x is a solution to (1). To transform (8) into a fixed point problem, we define the operator¯ bȳ…”
Section: Theorem 2 Assume That (H 2 ) (H 3 )mentioning
confidence: 99%