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The evaluation of performance of a design for complex discrete event systems through simulation is usually very time consuming.
Neutron transport simulation is usually performed for criticality, power distribution, activation, scattering, dosimetry and shielding problems, among others.
This type of simulation is usually based on 'history matching' the production data, e.g., cumulative oil and rate, water-cut, water production etc.
In China, energy consumption (EC) obtained by simulation is usually used as an indicator to assess residential building performance at the design phase.
Simulation is usually integrated into the plant life cycle at the front-end engineering and design stage and used to test application software using a simulated I/O system and process models in an offline environment.
Simulation is usually equated with role-taking, or imaginatively "putting oneself in the other's place".
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Current kernel functions for coalescence or breakage in CFD-PBM simulation are usually derived from the isotropic turbulence theory and overestimate bubble size distribution with increasing gas flow rate.
The outcomes of a simulation are usually represented in a graphical form and depict a sequence of states of the model at subsequent time points (simulation run or trace).
In this context, the budget for simulations is usually severely limited and therefore classical Monte Carlo methods ought to be avoided.
To reduce the computation, the number of grains used in typical DEM simulations is usually much less than that in real problems.
SPH simulations are usually performed with a uniform particle distribution.
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