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The data of material analysis will help to classify the manuscripts and their making.
An expert system for estimation of fatigue properties from simple tensile data of material is developed, considering nearly all important estimation methods proposed so far, i.e. seven estimation methods.
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These analyses require highly specific data of materials that are scattered across different data sources.
A literature survey of the subject found that a clear knowledge gap exists in this area of study, only aggregate data of materials of ships is available, no ship by ship data exist.
Furthermore, in this era of data-driven materials science, theory serves as a basis for encoding materials data, as with thermodynamic data of materials, and in generating such data, as in using, say, ab initio or mesoscale models to generate structure and property data at various length and time scales.
A "Service Condition-creep Rupture property Interference (SCRI) model" based on the Z parameter was used to simultaneously consider the scattering of the creep rupture data of materials and the fluctuations of service conditions in reliability assessment.
The LCF lifetime is presented as a function of loading and cooling conditions considered here by means of cyclic plasticity simulation and using LCF data of materials relevant for ITER.
If the material classification is not available, geotechnical data of the material used in the construction of the embankment are needed.
At the micro level, the microstructure of three above-mentioned materials in addition to microhardness profiles have been examined providing extensive data of the material behavior after welding.
The low temperature physical property data of this material are very important to ITER magnet design.
Finally the method is verified successfully by fatigue data of several material systems.
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