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Discrepancies found between numerical and empirical local data at large spacings, high Ω and low Re, suggest flow transition to turbulence and possible emergence of three dimensional effects, which were not accounted for in the computational analyses.
The comparison between numerical and empirical result for ground subsidence is shown in Fig. 2.
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The concentration profile was estimated based on numerical and empirical models of diffusion between laminar streams (see [29], [30], Supplementary Material S1).
Numerical and empirical results illustrate the performance of our methodology.
Results from both the numerical and empirical approaches are consistent.
We illustrate our findings through numerical and empirical data sets.
Table 3 summarizes the potential sources of errors for each of the numerical and empirical Green's functions.
To assess the degree of fit between models, numerical output and empirical data required prolonged simulations to minimize fluctuations in output due to stochastic effect.
That means predictive hydrate numerical models and empirical correlations should precisely take into account the interaction between electrolytes and organic inhibitors in order to accurately predict hydrate inhibition effects.
They are classified in three categories: numerical, simplified and empirical models.
Perturbations in hyperthermia temperature distributions associated with counter-current flow: numerical simulations and empirical verification.
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