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Graphene sheets were modeled in an atomistic state, whereas the polymer matrix was modeled as a continuum.
The fibers were modeled as a linear elastic, and the matrix was modeled as a linear viscoelastic material.
Using a first-principles based approach, the random distribution of HA particles in a solidified PCL matrix was modeled for any HA loading to predict the bulk mechanical properties of the composites.
The matrix was modeled with an isotropic linear elastic, rate-independent hyperbolic Drucker Prager plasticity coupled with a ductile damage model that is able to show pressure dependency of the yield and damage behavior often found in a thermoplastic material.
The design matrix was modeled using the two gamma hemodynamic response function.
The within-pedigree correlation matrix was modeled using an exchangeable working correlation matrix.
Similar(53)
The matrix was modelled using a pressure dependent, elasto-plastic thermodynamically consistent damage model.
The microstructure of the porous matrix was modelled as a medium composed of circular particles periodically arranged.
The unstructured covariance matrix was modelled in terms of its Cholesky parameterisation with TYPE = CHOL in the RANDOM statement, except from one metaregression where TYPE = UN was used to achieve convergence of the model's iterative estimation [ 33].
Matrix is modeled as isotropic material before yielding and modeled as perfectly plastic material after yielding.
The matrix is modeled with 2D damageable shell elements.
Related(20)
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