FATIGUE DAMAGE PREDICTION VIA NEURAL NETWORKS
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
Keywords
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