Structural failure at low temperatures and stability diagnostics

The influence of impurities on the cold brittleness of materials is studied. A neural network is trained to model fatigue and brittle failure of samples. The neural network generates numerical sequences that evolve analogously to the fractal characteristics of acoustic emission studied in fatigue te...

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Bibliographic Details
Published in:Russian engineering research 2016-04, Vol.36 (4), p.289-293
Main Authors: Kabaldin, Yu. G., Laptev, I. L., Shatagina, D. A., Anosova, M. S., Zotova, V. O.
Format: Article
Language:English
Subjects:
Engineering
Engineering Design
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Summary:The influence of impurities on the cold brittleness of materials is studied. A neural network is trained to model fatigue and brittle failure of samples. The neural network generates numerical sequences that evolve analogously to the fractal characteristics of acoustic emission studied in fatigue tests with various loads.
ISSN:1068-798X
1934-8088
DOI:10.3103/S1068798X16040079