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- W4386954130 abstract "Abstract As the Proper Orthogonal Decomposition (POD) based Discrete Empirical Interpolation Method (DEIM) constructs specially selected interpolation indices that define an interpolation-based projection without carrying out the orthogonal projection as the POD-based Reduced Order Method (ROM) does, we apply the DEIM method to reconstruct and predict the wind load on an FPSO in this study. High-fidelity CFD simulation is adopted to collect snapshots for the reduced-order model. Effects of the number of DEIM selected interpolation points are tested. Testing results indicate that DEIM can predict the wind load on the FPSO with high accuracy even with only 5 interpolation points. Considering the limited installation locations over the scaled models in wind tunnels, DEIM’s feature of interpolation indices selection for an optimal subspace approximation could be helpful to determine the optimal sensor positions, and consequently to offer guidance for sensor positioning for wind tunnel tests and improve the prediction accuracy of the ROM-based data assimilation models." @default.
- W4386954130 created "2023-09-23" @default.
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- W4386954130 date "2023-06-11" @default.
- W4386954130 modified "2023-10-18" @default.
- W4386954130 title "Predictions of Wind Loads on FPSO With POD-Based Discrete Empirical Interpolation Methods" @default.
- W4386954130 doi "https://doi.org/10.1115/omae2023-101352" @default.
- W4386954130 hasPublicationYear "2023" @default.
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