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This complementary study indicated that the constitutive model determined from the SS flow curves satisfactorily reproduced the CT hardening behavior.
Finite element analysis of rubber component was performed based on a hyper-elastic material model determined from material test.
It is shown that the neural model determined from the study of the first local network is representative of all the local networks (using the actual input data).
The mechanical fatigue damage was calculated based on the Smith Watson Topper (SWT) model at room temperature, while the oxidation damage was calculated based on the Sehitoglu model determined from the stress/strain data at the equivalent temperature.
Nonlinear finite element analyses of the 3D dumbbell specimen and engine mount were performed using Ogden hyperelastic material model determined from the tensile, shear and biaxial tension tests of the natural rubber, and resulted in relationships between load and maximum Green Lagrange strain for both the dumbbell specimen and engine mount.
A comparison between different classical Moho models, and a Moho model determined from seismic data, was presented in Bagherbandi (2011).
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Approximate models determined from the proposed procedure are compared with those determined using complete split-plot ANOVA analyses.
The SIFMplus model provides a description of the static lithospheric field that is very similar to models determined from CHAMP data, up to at least spherical harmonic degree (n=75).
We then used these models determined from our data to test which of the developmental/environmental effects could also be detected on a subset of the Nagano data comparable to our own data in terms of day time and plant age, organized in the same clusters as in our data.
The extended Langmuir model has been used to model the competitive adsorption system – model parameters determined from single component experiments accurately predict two component adsorption data over the temperature and concentration ranges studied.
The phenomenological parameter of the correlation length in the population balance model is determined from the network modelling.
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