Prediction of Tubular T/Y-Joint SIF by GA-BP Neural Network
Author:
Publisher
Springer Science and Business Media LLC
Subject
Civil and Structural Engineering
Link
http://link.springer.com/content/pdf/10.1007/s12205-020-1200-1.pdf
Reference26 articles.
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2. Bowness D, Lee MMK (1998) Fatigue crack curvature under the weld toe in an offshore tubular joint. International Journal of Fatigue 20(6):481–490, DOI: https://doi.org/10.1016/S0142-1123(98)00017-6
3. Brennan FP, Dover WD, Kar RF, Hellier AK (1999) Parametric equations for T-butt weld toe stress intensity factors. International Journal of Fatigue 21(10):1051–1062, DOI: https://doi.org/10.1016/S0142-1123(99)00090-0
4. Chiew SP, Gupta A, Wu NW (2001a) Neural network-based estimation of stress concentration factors for steel multiplanar tubular XT-joints. Journal of Constructional Steel Research 57:97–112, DOI: https://doi.org/10.1016/s0143-974x(00)00016-x
5. Chiew SP, Lie ST, Lee CK, Huang ZW (2001b) Stress intensity factors for a surface crack in a tubular T-joint. International Journal of Pressure Vessels & Piping 78(10):677–685, DOI: https://doi.org/10.1016/S0308-0161(01)00083-7
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