FATIGUE DAMAGE PREDICTION VIA NEURAL NETWORKS
Price
Free (open access)
Transaction
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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