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The constitutive fibril properties were determined by fitting numerical data to experimental results of unconfined compression and indentation tests on samples of bovine patellar articular cartilage.
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The effective shear stiffness of the porous neo-Hookean materials can then be computed by fitting the numerical data.
These notes describe how to average and fit numerical data that have been obtained either by simulation or measurement.
Two representative examples of Pareto distribution fits to numerical data are shown in the inserts of Figure 8(a) and 8(b).
Material properties of yarns in the dry fabric are extracted by fitting the numerical model to experimental data under the uni-axial and bi-axial extension modes.
where ψ, c, and m are regression coefficients whose numerical values were obtained by fitting the measured data shown in Figure 1.
Generally those parameters are being assessed by fitting the intensity data to an analytical or numerical model of photon migration, with prior assumptions being made.
The model was solved by numerical calculation and the parameters were obtained by fitting the experimental data by means of an error minimization algorithm.
A genetic optimization algorithm was used in combination with the numerical scheme to obtain parameters of the PC-SAFT model (σ, ε/k, and m) by fitting the experimental data.
The exponents take different values in this case: using a least squares fit to the numerical data we obtain α = 0.93 ± 0.01 and γ = 1.06 ± 0.01.
§Calculated by fitting the model to data.
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