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Experimental development demonstrates real-time fatigue life predictions for a marine riser digital twin, highlighting feasible monitoring with sparse field sensors.
We developed and tested in real time FIRSTLING-DIGIMAR, a pilot scale digital twin of a marine riser driven by sparse field measurements. The FIRSTLING consists of hardware and software that includes a reduced order model developed through multi-fidelity methods combining massive field and experimental data, with low- and high-fidelity models, it is driven by real time measurements of a few sensors along the riser, and provides real-time fatigue life predictions with uncertainty quantification.
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Kharami et al. (2024) studied this question.
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