Special learning set of a neural network and its application in evaluating the failure bending moments of flawed pipes

International Journal of Pressure Vessels and Piping

Volumn 68, Issue 1, 1996, Pages 7-11

  Han, Yu Lin ^a  

^a NANJING TECH UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

BENDING; FAILURE; NEURAL NETWORKS; PIPES;

BENDING (DEFORMATION); FAILURE (MECHANICAL); KNOWLEDGE ACQUISITION; LEARNING SYSTEMS; NEURAL NETWORKS;

FAILURE BENDING MOMENTS; FLAWED PIPES; LEARNING SET;

PIPE;

EID: 0029673048     PISSN: 03080161     EISSN: None     Source Type: Journal    
DOI: 10.1016/0308-0161(95)00032-1     Document Type: Article

References (2)

1. Han, Y.-L., Shen, S.-M. and Dai, S.-H., Artificial network technology as a method to evaluate the failure bending moment of pipe with circumferential crack, Int. J. Pres. Ves. & Piping 68 (1996) 1-6 (this issue).
2. Herter, K.-H., Julisch, P., Stoppler, W., and 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.