Structural failure at low temperatures and stability diagnostics

Yu. G. Kabaldin; I. L. Laptev; D. A. Shatagina; M. S. Anosova; V. O. Zotova

doi:10.3103/S1068798X16040079

Structural failure at low temperatures and stability diagnostics

Authors: Kabaldin Y.G.¹, Laptev I.L.¹, Shatagina D.A.¹, Anosova M.S.¹, Zotova V.O.¹
Affiliations:
1. Alekseev Nizhegorodsk State Technical University
Issue: Vol 36, No 4 (2016)
Pages: 289-293
Section: Article
URL: https://journal-vniispk.ru/1068-798X/article/view/226359
DOI: https://doi.org/10.3103/S1068798X16040079
ID: 226359

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Abstract
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Abstract

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.