Title :
Neural networks on fatigue damage prediction
Author :
Lopes, Tiago Alberto Piedras
Author_Institution :
COPPE, Univ. Federal do Rio de Janeiro, Brazil
Abstract :
This paper introduces a new methodology for fatigue evaluation of tubular offshore structures. The accumulated fatigue damage on selected joints, caused by actual wave loading condition, is assessed through a data acquisition and processing system, based on a PC microcomputer, installed onboard. By measuring the upward jacket displacements and applying feedforward backpropagation trained neural networks, the calculation of fatigue damage is performed in-time. This information, along with inspection reports, could be used to improve further inspection and repair of the platform structural joints
Keywords :
backpropagation; data acquisition; displacement measurement; fatigue; feedforward neural nets; microcomputer applications; structural engineering computing; accumulated fatigue damage; data acquisition and processing system; fatigue damage prediction; feedforward backpropagation trained neural networks; inspection reports; tubular offshore structures; upward jacket displacements; wave loading condition; Artificial neural networks; Automatic control; Data acquisition; Equations; Fatigue; Feedforward neural networks; Inspection; Neural networks; Stochastic processes; Stress;
Conference_Titel :
Neural Networks,1997., International Conference on
Conference_Location :
Houston, TX
Print_ISBN :
0-7803-4122-8
DOI :
10.1109/ICNN.1997.611661
