These permit the effects of non-uniform proppant concentration across the fracture width to be investigated, under the assumption that the time scale for development of cross slot structure is short compared with that for large scale flow.
Nonlinear model reduction for large-scale flows is an essential component in many fluid applications such as flow control, optimization, parameter space exploration and statistical analysis.
These findings may prove useful for design of lab experiments, computational studied of flows through real rock fractures, or inclusions in simulators for large-scale flows in highly fractured rocks.
Advances in parallel-vector computers have resulted in a computer architecture that is able to provide the computer power needed for large-scale flow predictions.
The main field, SV and flow coefficients are truncated at degree and order nmax = 14, and thus we have assumed that only large scale flows are responsible for the large scale SV.
After a comprehensive analyze, the intense shear and suppressing shear bands are concluded to be the two necessary conditions for the stress induced large scale flow.
The large scale flow for which the model was developed involves internal waves reflecting from a sloping boundary.
The development and commercial introduction of the AquaMaster® range of electromagnetic flowmeters offers much potential benefit for large scale water flow management.
The objective of this work is to assess the resolution of ENO schemes for large scale features of the flow when a coarse grid is used and small scale features of the flow, such as shears and roll-ups, are not fully resolved.
We present a high performance computing framework for large scale simulation of compressible multicomponent flows, applied to cloud cavitation collapse.
In this paper we present the main conceptual ingredients and the current state of development of the new solver QUADFLOW for large scale simulations of compressible fluid flow and fluid structure interaction.
