For these type of materials, estimation of effective diffusion coefficients have been mostly based on phenomenological equations with no link to underlying micro-scale properties of these charged materials although a few recent studies have used alternative methods to obtain the diffusion parameters (Jougnot et al., 2009; Pivonka et al., 2009; Revil and Linde, 2006 [2 4]).
Emphasizes the integration of fundamentals with material property estimation, process control, product development, and computer simulation.
KERMA factors and DPA cross section data are essential for nuclear heating and material damage estimation in fusion reactor designs.
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.
However, for some types of material extraction, estimation techniques need to be applied due to a lack of official statistics.
On the basis of the results obtained, the most advantageous material for estimation of nonoccupational exposure to arsenic seems to be hair, in spite of some problems with the decontamination procedure involved.
For handling of food materials, the estimation of grasping state is necessary.
Using value added as an output measure helps address the potential endogeneity of materials by avoiding estimation of a coefficient on materials [27, 50, 51].
