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Besides, the validity of calibrated parameters was tested in the hammer mill.
Finally, using the SCEM-UA optimisation algorithm, we calibrated parameters that affect seepage onto these time series.
Findings from the case study show that the calibrated parameters are usually different from the initially assumed values.
The results demonstrate that the model based on the calibrated parameters is capable of offering reasonable and robust predictions.
The calibrated parameters appeared to have very low uncertainty while allowing a good modelisation of the observed water content variations.
The calibrated parameters were used to estimate the relative impact of lower mammographic tumor detectability vs faster tumor volume doubling time on the poorer screening outcomes in younger women compared with older women.
The calibrated parameters were utilized in a field-scale FEA to simulate the growth of complex fracture networks.
The calibrated parameters are then used to assess the remaining corrosion free service life of the structure.
A number of sensitivity studies are performed to evaluate the effects of modeling assumptions on the calibrated parameters.
During the calibration process, the degree of numerical-experimental similarity was established along with conclusions about the sensitivity of numerical response to variations of the calibrated parameters.
The calibrated parameters led to overall satisfactory performance of the integrated model with goodness of fit criteria very close to the perfect fit.
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