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The established method is strongly application oriented and uses only experimentally determined data for optimization.
DEM simulation results were in good agreement with the experimentally determined data, both qualitatively and quantitatively.
Experimentally determined data are then used to analyze the fatigue susceptibility of the studied material.
The model prediction with CoilDesigner was verified against experimentally determined data collected from a number of sources.
The method is capable to extract two normal or log-normal components (PDF I and PDF II) from the mixed distribution of a given experimentally determined data set.
The resulting model simulation data were compared with experimentally determined data using PK parameters calculated using compartmental or noncompartmental analysis to assess the predictability of the models.
On the basis of experimentally determined data, a damage model based on cyclic crack growth has been developed which accounts for the anomalous behaviour of short fatigue cracks.
This order could not be predicted from regularly characteristics as octanol/water-distribution coefficients of the organic compounds but only from experimentally determined data.
Determined data at the ISM frequencies was fitted to polynomials to represent the dependence of the dielectric constant as well as the loss factor on temperature and moisture content.
The transition of phases and composition of identified phases was calculated using RK-Aspen EOS and obtained values were also compared to experimentally determined data at subcritical condition (1.1 4.5 MPa and 150 210 °C).
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The basis of this method comes from the experimentally-determined data of vortex shedding frequency through Constant Temperature Anemometry (CTA) measurements.
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