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

International Journal of Pressure Vessels and Piping

Volumn 68, Issue 1, 1996, Pages 1-6

  Han, Yu Lin ^a   Shen, Shi Ming ^a   Dai, Shu Ho ^a  

^a NANJING TECH UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

CIRCUMFERENTIAL; CRACKS; FAILURE; NEURAL NETWORKS; PIPE BENDS;

BENDING (DEFORMATION); CRACKS; FAILURE (MECHANICAL); NEURAL NETWORKS; PRESSURE EFFECTS; PRESSURE VESSEL CODES;

CIRCUMFERENTIAL CRACK; FAILURE BENDING MOMENT;

PIPE;

EID: 0029673687     PISSN: 03080161     EISSN: None     Source Type: Journal    
DOI: 10.1016/0308-0161(95)00033-X     Document Type: Article

References (3)

1. ASME Boiler and Pressure Vessel Code Section XI IWB-3650 and Appendix H.
2. Herter, K.-H., Julisch, P., Stoppler, W., & Sturm, D., Behavior of pipes under internal pressure and external bending moment - comparison between experiment and calculation. Fracture Mechanics Verification by Large-Scale Testing, EGF/ESIS8 (Edited by K. Kussmaul), (1991), Mechanical Engineering Publications, London, 223-241.
3. Yin, Q. Y., Yang, Z. K., & Tan, Z., Pattern Recognition and Neural Network, Machinery Industry Press, P. R. China, 1992.