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This paper proposes a tool that displays the parameters and their dependencies in system models written in Modelica, and integrates these models with numerical data.
Experimental quantification of the non-linear mechanical response for the viscoelastic polymer enables validation of computational (FE) models, with numerical simulations permitting predictions of in-vivo behaviour of scaffolds.
Therefore, this paper presents a methodology which combines the use of evacuation models with numerical techniques used in the operational research field, such as Design of Experiments (DoE), Response Surface Models (RSM) and the numerical optimisation techniques.
The explicit calculation of these functions in complex models with numerical techniques developed earlier for discrete breathers, allows one to detect the existence of possible targeted energy transfer, between which breathers, and at which energy.
The method is theoretically used to rotor and one degree of freedom oscillator models with numerical simulation; numerical results show that the maximum amplitude can be reduced by about 15 20% with phase modulation in comparison with the constantly accelerating case.
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In the early stages of the design process only two physical models were used; later efforts included extensive drawings and apparently also mathematical modeling with numerical calculations.
We compared the predictions of our model with numerical results obtained through simulations carried out using OPNET under the same traffic demands.
Four variants of the model with numerical and physical heart valves have been designed to investigate an effect of a heart assistance connected in series and in parallel to the natural heart.
Furthermore, the comparison of Eurocode 3 model with numerical M ϕ curves illustrated a significant overestimation of the knee region behavior for most of the cases, particularly for RCC with low initial stiffness.
Comparing the stochastic model (1.1) and the corresponding deterministic model ((alpha=0) in model (1.1)) with numerical simulations, we find that stochastic phenomena, either the internal factors or the external phenomena, have negative effect on dynamical behaviors.
The results are compared to physical models combined with numerical simulations available in the literature, for moving, evaporating isolated droplets and for three droplets arrangement in linear stream.
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