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We present results from coupled fluid-flow and geomechanical simulations for the same geometries to investigate stress-induced seismic anisotropy.
This study scrutinizes the influence on model performance due to one single simulation versus several smaller simulations for the same duration; essentially splitting the run-time.
Moreover, simulations for the same connected load are carried out with different configuration of renewable energy resources and the optimum results are obtained.
This paper presents laser Doppler velocimetry (LDV) measurements and computational fluid dynamics (CFD) simulations for the same system as in Part I, a turbulent fluid layer overlying a saturated porous medium.
Although Hecht-Nielsen (Hecht-Nielsen 1987) and Kaastra and Boyd Kaastra and Boydd 1996) have proposed empirical techniques to determine the optimum architecture of ANN but a heuristic approach is needed because the suitable numbers of layers and neurons may even change with different simulations for the same problem.
We used more recent SST/sea-ice reconstructions for our baseline experiment compared to previous simulations for the same climatic events [44].
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Figure 17 shows an equivalent discrete-event simulation model for the same system.
This was in good agreement with simulation for the same geometry, which indicated 57% lower power dissipated in the sample with conductors present.
These field-observations with depth were compared with results from a one-dimensional two-phase flow model simulation for the same transect.
With these kind of models, running the same model several times results in possibly different traces, which all reflect the outcome of a different simulation for the same model.
The values identified by this method is compared with that by Simpack simulation for the same low-floor vehicle, which shows a good coincidence between them in the time domain of the wheelset lateral force and the wheel rail vertical force.
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CEO of Professional Science Editing for Scientists @ prosciediting.com