The numerical optimization and model tests results demonstrate that the proposed method can significantly improve optimization efficiency.
The effective design of viscoelastic dampers as applied to real-world complex engineering structures can be conveniently carried out by using modern numerical optimization and/or model updating techniques.
The optimal conditions obtained on numerical optimization of this model were; temperature 24.2 °C, pH 8.70, enzyme concentration 2.71 mg/g oil and buffer concentration 1.25 g/g oil.
Numerical optimization of the model revealed a maximum reduction of 71, 93, 86 and 99.6 % COD, phosphate, color and sulfate at optimal FeCl3 dosage = 3 g/l, pH 8, and reaction time = 95 min.
Numerical optimization of the model revealed that the maximum reduction of 71, 93, 86 and 99.6 % COD, phosphate, color and sulfate could be achieved respectively at optimal FeCl3 dosage = 3 g/l, pH 8, and reaction time = 95 min; whereas the average EC (mS/cm), TDS (ppt) and salt (ppt) concentration in the effluent were 8.29, 6.35 and 4.35.
Through numerical optimization of a mathematical model of an insertion site, we show that stress concentrations can be reduced by a biomimetic grading of material properties.
Model-based numerical optimization indicated that the optimal factor level combination for maximizing PCC 7120#11 volumetric productivity was a photosynthetic photon flux density of 154 μmol m−2 s−1 and air enriched with 3.18% (v/v) CO2 supplied at a flow rate of 1.02 vessel volumes per minute.
Numerical examples are presented to demonstrate the applicability of the proposed optimization model and numerical techniques.
In this strategy, finite element analysis, Approximate model, a numerical optimization algorithm and probabilistic design method Monte Carlo simulation are integrated to create an automated design tool.
Statistical models for solvent flux, peptide and trifluoroacetic acid rejections are obtained by statistical Analysis of Variance and the best operating conditions for concentration are found by numerical optimization of the statistical models.
