Identification of plastic properties of metallic structures by artificial neural networks based on plane strain small punch test
Author:
Publisher
Springer Science and Business Media LLC
Subject
Strategy and Management,Safety, Risk, Reliability and Quality
Link
http://link.springer.com/article/10.1007/s13198-017-0617-5/fulltext.html
Reference15 articles.
1. Abendroth M, Kuna M (2003) Determination of deformation and failure properties of ductile materials by means of the small punch test and neural networks. Comput Mater Sci 28:633–644
2. Baik JM, Kameda J, Buck O (1983) Small punch test evaluation of intergranular embrittlement of an alloy steel. Scr Metall 17:1443–1447
3. Bishop CM (1995) Neural networks for pattern recognition. Clarendon Press, Oxford
4. Fleury E, Ha J (1998) Small punch tests to estimate the mechanical properties of steels for steam power plant: I. Mechanical strength. Int J Press Vessels Pip 75(9):699–706
5. Hagan MT, Demuth HB (1996) Neural network design. PWS Publishing Company, Boston, MA
Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Prediction of mechanical properties for typical pressure vessel steels by small punch test combined with machine learning;International Journal of Pressure Vessels and Piping;2023-12
2. A novel method to predict the stress-strain curves and J resistance curves of ductile materials by small samples;International Journal of Pressure Vessels and Piping;2019-05
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