2014
DOI: 10.1016/j.ijengsci.2014.04.014
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A novel generalized thermoelasticity model based on memory-dependent derivative

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Cited by 230 publications
(41 citation statements)
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“…The quotient-difference algorithm based NILT method is more numerically stable giving the same results in a practical way and it has the minimum error. NILT has been widely evaluated in the context of generalized thermoelasticity with fractional calculus, memory-dependent derivative and the nonlocal effect considered [45][46][47].…”
Section: Numerical Implementationmentioning
confidence: 99%
“…The quotient-difference algorithm based NILT method is more numerically stable giving the same results in a practical way and it has the minimum error. NILT has been widely evaluated in the context of generalized thermoelasticity with fractional calculus, memory-dependent derivative and the nonlocal effect considered [45][46][47].…”
Section: Numerical Implementationmentioning
confidence: 99%
“…Thus the strain tensor components are given by, e rr = ∂u ∂r , e ψψ = u r , e zz = e rz = e rψ = e ψz = 0 (26) Hence the cubical dilatation e will be of the form, e = ∂u ∂r + u r (27) From equation 18we obtain the stress tensor components as follows:…”
Section: Fig 1 Schematic Diagram Of the Problemmentioning
confidence: 99%
“…Yu et al. [11]) to investigate micro/nano scale sudden heating problem and estimate the nonlocal parameter's effect on the responses. For size effect on heat conduction, Sobolev [12] and Tzou [2] suggested that heat conduction at micro/nanoscale is essentially nonlocal, and classical heat conductive law should be further perfected by introducing material's characteristic length.…”
Section: Introductionmentioning
confidence: 99%