ABSTRACT
He, J., 2019. Fatigue performance analysis of marine pipeline metal hose joint based on neural network. In: Guido-Aldana, P.A. and Mulahasan, S. (eds.), Advances in Water Resources and Exploration. Journal of Coastal Research, Special Issue No. 93, pp. 982–987. Coconut Creek (Florida), ISSN 0749-0208.
To improve the fatigue stress and structural strength of marine pipeline metal hose joints under seawater corrosion, mathematical modeling and mechanical analysis of fatigue performance analysis process of marine pipeline metal hose joints are needed. A neural network-based fatigue performance analysis model for marine pipeline metal hose joints in seawater corrosion environment is presented in this paper. The conditional fatigue strength analysis model and steel fatigue life prediction model of marine pipeline metal hose joints under seawater corrosion were constructed, and the stress yield evolution process of marine pipeline metal hose joints was numerically simulated. The mechanical analysis model of seawater corrosion environment and the yield stress model of material fatigue performance analysis are established by means of closed vector method and Lagrangian equation. The neural network driving fatigue stress test and fatigue fracture prediction interactive control method are used to control the evolution mechanics of metal hose joints in marine pipeline. The fatigue performance analysis and numerical simulation of marine pipeline metal hose joints in seawater corrosion environment are realized. The simulation results show that the numerical simulation accuracy of the fatigue performance analysis process of the marine pipeline metal hose joints under seawater corrosion is high, and the corrosion resistance of the marine pipeline metal hose joints is improved. The stress intensity of metal hose joints in ship pipeline is improved.
