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In this study, an inverse problem methodology is used which takes into account both features and yields material property estimates that can analyze the healing changes.
Steady-state analytical calculations showed that the perching-layer hydraulic conductivity is likely to be up to two orders of magnitude lower than the value obtained from Hanford site material property estimates.
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The TBT and the FEM were applied to analyze the profiles under bending, using material properties estimated by CLT.
It is observed that for low to moderate noise, the material properties estimated by the proposed method are relatively insensitive to noise.
The lines in c are average values of κ L at the indicated temperature Table 1 Thermoelectric material properties estimated from the effective mass model 575 K 750 K m * (me) 3.1 6.2 μ0 (cm2 V−1 s−1) 5.9 1.9 κ L (W m−1 K−1) 0.53 0.54 B 0.28 0.28.
As well, the refined material-property estimate is employed to assure the design quality.
Interior penalty-function method and golden section method are employed as optimization techniques, together with finite difference method for the sensitivity analysis and an appropriate material-property estimate for calculating thermomechanical properties of the graded layer.
The material properties are estimated based on the Eshelby Mori–Tanaka approach.
The effective material properties are estimated using the self-consistent homogenization scheme.
The effective material properties are estimated using the rule of mixtures.
Material properties are estimated by a micro mechanical model (extended rule of mixture), using some effective parameters.
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