Sentence examples for material parameter estimation from inspiring English sources

An inverse method for material parameter estimation of elastic, piezoelectric and viscoelastic laminated plate structures is presented.

In this paper, a variant of constitutive equation error based material parameter estimation procedure for linear elastic plates is developed from partially measured free vibration sig-natures.

Based on the results obtained from the simulations, it is determined which one of the defined strategies that is most beneficial for HCF-criteria material parameter estimation, and also how many tests that should be performed in order to maximize the benefit of the information obtained from the fatigue testing.

The optimisation procedure is informed (through the estimation of initial material parameter estimates and objective function evaluation) by anhysteretic type experiential data only (wherein long term load hold periods are introduced at various points in the waveform).

The hybrid methodology was combined with a microscale experimental platform, to significantly reduce both the number of experiments required as well as the time and material required for full kinetic parameter estimation.

Parameter estimation (Supplementary Material 5 online) was performed using MONOLIX 4.1.2.

Despite the limitations and use of material parameters for the estimation of transport coupling strengths, the present theoretical model on the thermoelectric power of the Rb3C60 consistently reveals the interesting behavior reported experimentally.

The effect of systems biology model: microarray data, PPI databases, and PPI interaction model in (1 ) are employed to construct the PPI networks of normal and cancer cells by the maximum likelihood parameter estimation method (see Supplementary Material S.1).

The procedure of model selection based on parameter estimation is provided in Materials and Methods.

Microarray data, PPI databases, and the PPI interaction model in (1) were employed to construct PPI networks of normal and cancer cells by the maximum-likelihood parameter estimation method (see Supplementary Materials S.1).

We therefore describe in this article a model updating approach, focusing on the residual stress estimation and not on the material parameter identification.