Modelling of Wind Wave Pressure and Free-surface Elevation using System Identification
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초록
A System Identification method to develop parametric models linking free surface elevation and wavepressure is presented and two models are built allowing for either wave pressure or free surface elevation simulation. Linear, time invariant model structures with static nonlinearities are assumed and solutions are sought in a form ofautoregressive model with extra input (ARX). An arbitrary chosen free-surface elevation and wave pressure datasetis used for estimation of the models, which are subsequently verified against datasets with similar pressure gaugedepth but different free-surface elevation spectra due to different meteorological conditions. It is shown that freesurfacesimulation using System Identification methods can perform better than traditional linear transfer functionderived from linear wave theory (LTF), while wave pressure simulation quality using presented methods is generallysimilar to that obtained with corrected LTF.
Abstract
A System Identification method to develop parametric models linking free surface elevation and wavepressure is presented and two models are built allowing for either wave pressure or free surface elevation simulation. Linear, time invariant model structures with static nonlinearities are assumed and solutions are sought in a form ofautoregressive model with extra input (ARX). An arbitrary chosen free-surface elevation and wave pressure datasetis used for estimation of the models, which are subsequently verified against datasets with similar pressure gaugedepth but different free-surface elevation spectra due to different meteorological conditions. It is shown that freesurfacesimulation using System Identification methods can perform better than traditional linear transfer functionderived from linear wave theory (LTF), while wave pressure simulation quality using presented methods is generallysimilar to that obtained with corrected LTF.
참고문헌 (35)
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