Structural failure at low temperatures and stability diagnostics
- 作者: Kabaldin Y.G.1, Laptev I.L.1, Shatagina D.A.1, Anosova M.S.1, Zotova V.O.1
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隶属关系:
- Alekseev Nizhegorodsk State Technical University
- 期: 卷 36, 编号 4 (2016)
- 页面: 289-293
- 栏目: Article
- URL: https://journals.rcsi.science/1068-798X/article/view/226359
- DOI: https://doi.org/10.3103/S1068798X16040079
- ID: 226359
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详细
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.
作者简介
Yu. Kabaldin
Alekseev Nizhegorodsk State Technical University
编辑信件的主要联系方式.
Email: uru.40@mail.ru
俄罗斯联邦, Nizhny Novgorod, 603905
I. Laptev
Alekseev Nizhegorodsk State Technical University
Email: uru.40@mail.ru
俄罗斯联邦, Nizhny Novgorod, 603905
D. Shatagina
Alekseev Nizhegorodsk State Technical University
Email: uru.40@mail.ru
俄罗斯联邦, Nizhny Novgorod, 603905
M. Anosova
Alekseev Nizhegorodsk State Technical University
Email: uru.40@mail.ru
俄罗斯联邦, Nizhny Novgorod, 603905
V. Zotova
Alekseev Nizhegorodsk State Technical University
Email: uru.40@mail.ru
俄罗斯联邦, Nizhny Novgorod, 603905
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