Artificial neural network technology as a method to evaluate the failure bending moment of a pipe with a circumferential crack-Reference-Cited by-同舟云学术

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Artificial neural network technology as a method to evaluate the failure bending moment of a pipe with a circumferential crack

Published:1996-08 Issue:1 Volume:68 Page:1-6
ISSN:0308-0161
Container-title:International Journal of Pressure Vessels and Piping
language:en
Short-container-title:International Journal of Pressure Vessels and Piping

Author:

Han Yu-Lin,Shen Shi-Ming,Dai Shu-Ho

Publisher

Elsevier BV

Subject

Mechanical Engineering,Mechanics of Materials,General Materials Science

Reference3 articles.

1. ASME Boiler and Pressure Vessel Code Section XI IWB-3650 and Appendix H.

2. Behavior of pipes under internal pressure and external bending moment—comparison between experiment and calculation;Herter,1991

3. Pattern Recognition and Neural Network;Yin,1992

Cited by 7 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. Machine learning for the prediction of problems in steel tube bending process;Engineering Applications of Artificial Intelligence;2024-07

2. Multiresolution analysis and deep learning for corroded pipeline failure assessment;Advances in Engineering Software;2021-12

3. Investigation of pressurized elbows containing interacting corrosion defects;International Journal of Pressure Vessels and Piping;2014-11

4. A study of pipe interacting corrosion defects using the FEM and neural networks;Advances in Engineering Software;2007-11

5. Fatigue life calculation of flawed structures—based on artificial neural network with special learning set;International Journal of Pressure Vessels and Piping;1998-03

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