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The proposed optimization algorithm is applied to the modeling of the concrete strength under triaxial stresses.
Micro, meso, and macro manufacturing levels are applied to the modeling and simulation.
The proposed model is applied to the modeling of tensile cracking in concrete.
A variety of system identification techniques are applied to the modeling of process dynamics.
This strategy is applied to the modeling of spectroscopic and color data to estimate physical correlations and improve estimates on the effects of dust.
We consider here the performance of two selected models, NRTL applied to the modeling of liquid-liquid equilibrium and an electrolyte equation-of-state applied to the modeling of aqueous mean ionic activity coefficients.
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The same threshold is applied to the model data.
Tells about the makeup job applied to the model before the demonstration.
Sensitivity analysis was then applied to the model to account for overall risk and uncertainty.
A piece-wise linearization method is applied to the model.
Investigation of dynamic numerical simulation is applied to the model.
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