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In the modeling of complex dynamic systems, the approaches for reducing the discretization error may fail to enhance the confidence in simulation based predictions when the dynamical systems exhibit significant changeability in the description of the numerical model due to model uncertainty.
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Modelling an area source such as landfill is a difficult task for numerical models due to turbulence phenomena that modifies the flow near the source increasing ground level concentration (GLC).
Moreover, a set of input parameters is required for the definition of the numerical model and, due to the uncertainty and difficulty in their experimental evaluation, these parameters are usually set in an arbitrary way.
Both analytic model and numerical simulation due to Nayakshin (2010) confirmed the suggestion made by Boss (1998a) but the initial configurations predicted by this study are found to be different from the ones found in the study of Helled and Schubert (2008).
However, representation of the contact interactions is often simplified with no or limited consideration of a combination of above-mentioned effects in state-of-the-art numerical simulation models due to extremely limited availability of electrical and thermal contact resistance data at various pressures and temperatures.
Interactions of positions with time could not be included in the model due to numerical problems in the algorithm.
In real nickel, as opposed to the numerical model, geometrically necessary dislocations are generated due to GB misorientation.
The measured strains are input to an inverse parametric numerical model to obtain the traction separation relation due to bridging.
In this laboratory setting, the definition of a fracture of the opposite cortex followed an "all-or-nothing principle" due to the used underlying numerical model.
The numerical model includes assumptions based on literature values and the experience of the modeller due to the limited amount of hydrogeological data.
The non-linear stabilization algorithm was selected due to the convergence of the numerical model.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com