WIT Press


FATIGUE DAMAGE PREDICTION VIA NEURAL NETWORKS

Price

Free (open access)

Volume

32

Pages

11

Published

1997

Size

920 kb

Paper DOI

10.2495/OE970181

Copyright

WIT Press

Author(s)

Tiago A Piedras Lopes & Nelson F. F. Ebecken

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, will be 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. This kind of procedure can also be applied to other types of offshore structures on which the fatigue damage contributes to the theirs failure modes, as FPSO and TLP. Basically, it is necessary to develop an upd

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