Comput Math Methods Med - The influence of the specimen shape and loading conditions on the parameter identification of a viscoelastic brain model.

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Resumo

The mechanical properties of brain under various loadings have been reported in the literature over the past 50 years. Step-and-hold tests have often been employed to characterize viscoelastic and nonlinear behavior of brain under high-rate shear deformation; however, the identification of brain material parameters is typically performed by neglecting the initial strain ramp and/or by assuming a uniform strain distribution in the brain samples. Using finite element (FE) simulations of shear tests, this study shows that these simplifications have a significant effect on the identified material properties in the case of cylindrical human brain specimens. Material models optimized using only the stress relaxation curve under predict the shear force during the strain ramp, mainly due to lower values of their instantaneous shear moduli. Similarly, material models optimized using an analytical approach, which assumes a uniform strain distribution, under predict peak shear forces in FE simulations. Reducing the specimen height showed to improve the model prediction, but no improvements were observed for cubic samples with heights similar to cylindrical samples. Models optimized using FE simulations show the closest response to the test data, so a FE-based optimization approach is recommended in future parameter identification studies of brain.

Resumo Limpo

mechan properti brain various load report literatur past year stepandhold test often employ character viscoelast nonlinear behavior brain highrat shear deform howev identif brain materi paramet typic perform neglect initi strain ramp andor assum uniform strain distribut brain sampl use finit element fe simul shear test studi show simplif signific effect identifi materi properti case cylindr human brain specimen materi model optim use stress relax curv predict shear forc strain ramp main due lower valu instantan shear moduli similar materi model optim use analyt approach assum uniform strain distribut predict peak shear forc fe simul reduc specimen height show improv model predict improv observ cubic sampl height similar cylindr sampl model optim use fe simul show closest respons test data febas optim approach recommend futur paramet identif studi brain

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