A new nonlinear viscoelastic model and mathematical solution of solids for improving prediction accuracy

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作者
Qinwu Xu
Björn Engquist
Mansour Solaimanian
Kezhen Yan
机构
[1] School of Civil Engineering,
[2] Yango University,undefined
[3] Oden Institute for Computational Engineering and Sciences,undefined
[4] the University of Texas at Austin,undefined
[5] Department of Mathematics,undefined
[6] the University of Texas at Austin,undefined
[7] Civil and Environmental Engineering,undefined
[8] Penn State,undefined
[9] State College,undefined
[10] School of Civil Engineering,undefined
[11] Hunan University,undefined
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摘要
We developed an innovative material nonlinear viscoelastic model with physical mechanism and mathematical solution to improve existing ones. The relaxation modulus transits from the glassy stage to the rubbery stage through a time-dependent viscosity in a continuous spectrum considering the nonlinear strain hardening. Experimental results of differential solid materials including asphalt concrete, agarose gel, vaginal tissue, polymer, agar, bone, spider silk, and hydrogel demonstrate that the developed model is superior to generalized Maxwell model or Prony series for more accurate prediction outside of the range for data fitting while using much less model parameters. Numerical simulation results indicate that the new model has improved accuracy. It is stable numerically, and does not reduce computation speed. Therefore, the model may be used to simulate a broad range of viscoelastic solids for predicting experimental data and responses with improved accuracy.
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