2012
DOI: 10.1007/s00397-012-0625-y
|View full text |Cite
|
Sign up to set email alerts
|

Fractional viscoelastic models: master curve construction, interconversion, and numerical approximation

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
25
0

Year Published

2012
2012
2019
2019

Publication Types

Select...
7
1

Relationship

0
8

Authors

Journals

citations
Cited by 38 publications
(25 citation statements)
references
References 38 publications
0
25
0
Order By: Relevance
“…In this paper, we use the Caputo derivative for fractional differentiation, which is defined as [32][33][34] …”
Section: Mathematical Preliminaries (A) Definitionsmentioning
confidence: 99%
“…In this paper, we use the Caputo derivative for fractional differentiation, which is defined as [32][33][34] …”
Section: Mathematical Preliminaries (A) Definitionsmentioning
confidence: 99%
“…However, this function has proven not applicable to all the mixes [25]. Other pre-smoothing methods can be found elsewhere [23,[26][27][28]. Another critical issue is that the existing fitting methods mostly involve sophisticated rheological expertise and empirical operations, which significantly reduces the efficiency for analysis.…”
Section: Introductionmentioning
confidence: 96%
“…Thus, time‐temperature superposition principle needs to be coupled with the fractional viscoelastic constitutive model. For thermorheologically simple materials, the shift factor for each branch follows the same rule, and in each branch the effect of changing temperature is simply to horizontally shift the viscoelastic response as a function of frequency, that is, atrue(Ttrue)=τ(T)τ(Tnormalr) where τ ( T r ) is the reference relaxation time at the reference temperature T r , and a ( T ) is the time‐temperature shift factor. The shift factor is commonly used by empirical equations, among which the Williams–Landel–Ferry (WLF) equation shown in eq is the most commonly used.…”
Section: The Novel Constitutive Modelmentioning
confidence: 99%