Sentence examples for pragmatic simulation from inspiring English sources

Here we demonstrate the construction of realistic 2D sandstone facies based models for a pragmatic simulation of flow dynamics using a combination of digital point clouds dataset acquired from LiDAR and field investigation of the Sandakan Formation, Sabah, Borneo.

It is concluded that despite some limitations to fully adapting a commercial code such as FLAC3D for some specialized research and computational needs, TOUGH-FLAC is likely to remain a pragmatic simulation approach, with an increasing number of users in both academia and industry.

Owing to the high computational cost of such a large CA model and the need for pragmatic simulation times, certain parameters were exaggerated or undervalued in the model.

We have used a pragmatic simulation-based approach to classify different mechanisms that affect transient trajectories in non-autonomous systems.

It is thus not pragmatic to simulate all the designs to find out the best solution as the coupled simulation of non-linear plastic flow of billet material and tooling deformation is very time-consuming.

Determining how much additional data might be required to eventually recover most or all nodes with high support is an important pragmatic goal, and simulations have been used to examine this question.

The proposed e-Bay approach bridges the gap between global precipitation products and their pragmatic applications to discharge simulations, and is beneficial to water resources management in ungauged or poorly gauged regions across the world.

Numerical device simulations and UFDG/Spice3 device/circuit simulations suggest that pragmatic DG-FinFET CMOS can be optimally designed to yield outstanding performances in all applications, with good tradeoffs between speed and power consumption as the gate length is scaled to less than 10 nm.

A pragmatic strain-softening constitutive model, which is based on Modified Cam Clay, was applied to the simulation of the progressive failure of an embankment constructed on a deposit of sensitive (strain-softening) clay in Saga, Japan.

The motor simulation thus provides the pragmatic knowledge congruent with the underlying action and complements the semantic recognition of the verb.

Due to the limited amount of analysis possible in such systems, this toolkit will need to be developed in a pragmatic and empirical manner, using numerical simulation and exploration of a simple conceptual model as its basis.