Artificial neural network method for flawed pipe failure evaluation: probabilistic models-Reference-Cited by-同舟云学术

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Artificial neural network method for flawed pipe failure evaluation: probabilistic models

Published:1996-09 Issue:2 Volume:68 Page:203-207
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,Dai Shu-Ho

Publisher

Elsevier BV

Subject

Mechanical Engineering,Mechanics of Materials,General Materials Science

Reference6 articles.

1. Artificial neural network technology as a method to evaluate the failure bending moment of pipe with cicumferential crack;Han;Int. J. Pres. Ves. & Piping,1996

2. Behavior of Pipes Under Internal Pressure and External Bending Moment—Comparison Between Experiment and Calculation;Herter,1991

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

2. Methodology for predicting the occurrence of failure events for pressure vessels used in the process industry;International Journal of Pressure Vessels and Piping;1998-03

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