Structural failure at low temperatures and stability diagnostics
- Авторлар: Kabaldin Y.G.1, Laptev I.L.1, Shatagina D.A.1, Anosova M.S.1, Zotova V.O.1
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Мекемелер:
- Alekseev Nizhegorodsk State Technical University
- Шығарылым: Том 36, № 4 (2016)
- Беттер: 289-293
- Бөлім: Article
- URL: https://journals.rcsi.science/1068-798X/article/view/226359
- DOI: https://doi.org/10.3103/S1068798X16040079
- ID: 226359
Дәйексөз келтіру
Аннотация
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.
Негізгі сөздер
Авторлар туралы
Yu. Kabaldin
Alekseev Nizhegorodsk State Technical University
Хат алмасуға жауапты Автор.
Email: uru.40@mail.ru
Ресей, Nizhny Novgorod, 603905
I. Laptev
Alekseev Nizhegorodsk State Technical University
Email: uru.40@mail.ru
Ресей, Nizhny Novgorod, 603905
D. Shatagina
Alekseev Nizhegorodsk State Technical University
Email: uru.40@mail.ru
Ресей, Nizhny Novgorod, 603905
M. Anosova
Alekseev Nizhegorodsk State Technical University
Email: uru.40@mail.ru
Ресей, Nizhny Novgorod, 603905
V. Zotova
Alekseev Nizhegorodsk State Technical University
Email: uru.40@mail.ru
Ресей, Nizhny Novgorod, 603905
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