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The results of validation and verification obtained taking into account the uncertainties of the fuel rod fabrication data, material properties and irradiation conditions indicate that the BERKUT module describes adequately the fuel rod behavior in fast reactors.
Such information could be measurements, knowledge about accurate geometric data, material properties, or load history of an existing building, which should be revitalized, as well as information about the computing model used.
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The need to consider the effects of uncertainties in loading information, calculation of stresses, input data and material properties is emphasised.
Simplified modeling assumptions, due to lack of in vivo experimental data on material properties and muscle activation patterns, may introduce analytical errors in analyses where quantitative accuracy is critical for obtaining rigorous results.
Data about material properties from experimental studies and boundary conditions from advanced MRI and CT technology have led to CFD methods being used to understand the flow fields in AAA.
In conclusion, then, cochlear models are still limited by both a lack of detail in the models and experimental data on material properties and in vivo response for validation.
Then the well-established FE models can be run using commercial finite element analysis packages, i.e., Abaqus, to extract the information and data for material property evaluation for the materials of interest.
This paper presents latent variable approaches that exploit an auxiliary data information matrix, as well as the data matrix itself, for estimating missing data on raw material properties of rubbers used in formulating industrial polymer blends.
Facility could rapidly provide data on how material properties change in a nuclear reactor.
Parameter studies were conducted to expand test data with different material properties and section slenderness.
These models require accurate data on thermal material properties to offer reliable validation and interpretation of the results.
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