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The types of symmetries that are often most relevant for mathematical modelling of finite networks of neurons are the permutation groups, i.e. the symmetric groups and their subgroups.
The data derived in this study will be significant for further micro-mechanical modelling of finite deforming composites used in especially damage tolerant applications.
The bond graph representation is an energy-based graphical language that has been first developed for the dynamic modelling of finite dimensional mechanical, hydraulic and electrical systems.
This nowadays well-established approach, which is inherently related to the concept of a material isomorphism or in other words to a local rearrangement, is adopted as a paradigm for the general modelling of finite inelasticity.
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The slope of the aspirated length versus pressure line for a neo-Hookean material (α = 2; L/Rc = 1.107P/E; Fig. 3A) is higher than predicted for an infinite thickness sample (k = 0.97), but is close to the predicted slope (1.13) expected for the modeled sample tissue thickness based on previous small deformation models of finite thickness materials [46], [56].
But, Q can be shown to have models of finite size too by referring to the inconsistent models of arithmetic.
A fluid model of finite dimension is considered with leaks distributed equally throughout the pipeline.
Based on comprehensive experimental data, an amplitude-dependent constitutive model of finite viscoelasticity is developed.
This paper presents a new energy-dissipative momentum-conserving algorithm for multiplicative models of finite strain plasticity.
In the viscoelastic case, this analysis permits us to study the validity of two popular models of finite viscoelasticity.
Furthermore, engaging colliding bodies optimization algorithm (CBO) by efficient surrogate model of finite element (FE) model, maintains the acceptable accuracy of damage severity detection.
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