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Computers & Mathematics with Applications
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Computers & Mathematics with Applications
Article . 1981
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Computers & Mathematics with Applications
Article . 1981 . Peer-reviewed
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Numerical analysis in nonlinear viscoelasticity

Authors: Y.M. Haddad;

Numerical analysis in nonlinear viscoelasticity

Abstract

AbstractThe well-known Volterra integral equation in linear viscoelasticity is treated to characterize the response of nonlinear viscoelastic materials. In this context, a procedure is presented which includes a differential approximation of the time-dependent kernel and an optimization procedure and leads to an optimum selection of certain parameters such that the deviation of the theoretical results form the experimental data is minimal. The formulations are then applied numerically to the case of natural cellulose fibres by using available experimental data on the relaxation of such fibres. The results of the investigation prove the close accuracy of the predictive ability of the model within the range of strain levels considered.

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Keywords

natural cellulose fibres, Numerical optimization and variational techniques, Nonlinear constitutive equations for materials with memory, Volterra integral equations, response of nonlinear materials, Nonlinear elasticity, Volterra integral equation, Other numerical methods in solid mechanics, Computational Mathematics, Computational Theory and Mathematics, Modelling and Simulation, Optimization problems in solid mechanics, Linear constitutive equations for materials with memory, differential approximation of time-dependent kernel

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
4
Average
Top 10%
Average
hybrid