Exact(9)
The predictions based on the proposed criterion seem to be more precise for the analysed materials.
This paper compares the advantages and limits of different methods of sample preparation before analysis; methods which would eliminate the contamination of analysed materials.
To carry out that analysis, a Digital Image Correlation (DIC) technique was utilised during conventional tensile tests to extend the experimental flow curves of the analysed materials.
The results show that the proposed criterion provides very good predictions for all the analysed materials and loading conditions (within a factor of two) used in this work.
The results showed that the DIC technique was valid for the extension of the hardening curve of the analysed materials and for the final selection of the most suitable hardening model for each analysed material family.
It was also underlined that particular attention has to be given to the levels of heating to avoid dangerous effects and preliminary tests have to be performed in function of the analysed materials, to verify the respect of directives and standards, as was done in the case of the "Ratto delle Sabine" model.
Similar(51)
The analysed material includes field logs and sediment samples originating from the Juvdalskampen section, central Spitsbergen.
This technique enables rapid multiple sampling of the analysed material, such as needed for mapping or in-depth profiling applications.
Commonly used hardening models were fitted to the experimental tensile flow curves with the aim of selecting the model that best predicts the hardening behaviour of each analysed material family.
The shape and size of the structural volume have been assumed according to the literature, even though the definition of the structural volume size of the analysed material in a fatigue sense is not the scope of the present paper.
The analysed material was collected in the Biribiri State Park, which is in the Municipality of Diamantina, Minas Gerais, Brazil.
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