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In this paper we apply an old technique, originally developed for modelling the driving of a pile into the ground, to describe the performance of penetrators and Moles developed for planetary applications.
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The framework exploits the advantages of LVRMs in modeling the driving forces between databases of developed products and the raw materials/process conditions used.
In an attempt to fully understand the build up of resistance when driving piles, it is desirable to model the driving process and the corresponding soil behaviour.
Wakita et. al[12] modeled the driving behavior when following another vehicle.
We model the driving force by the flow of water inside the waterfall as a constant downward source term in the momentum equation.
In modeling, the driving force for transportation of the diffusing molecule was the concentration gradient in lateral diffusion cell under unsteady diffusion.
We first lay out the rationale for designing CompEL as a method that models the driving force for ion permeation through channels the way it is established in cells, i.e., by electrochemical ion gradients across the membrane.
Moreover, in the current model, the driving forces that induce shape changes increase with curvature.
According to this model, the driving force for adsorption (q e − q t ) is proportional to the available fraction of active sites [14, 15].
To model (linear regression model) the driving performance indices through the different neuropsychological tests it was necessary that the indices included the effects of all viable driving performance parameters i.e. the indices that were derived by considering all 24 driving performance parameters, which were DPI1 and DPI1-weighted.
In the traditional Starling model, the driving forces for this flow are the intracapillar hydrostatic pressure (Piv) and the interstitial colloid-oncotic pressure (πis).
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CEO of Professional Science Editing for Scientists @ prosciediting.com