BASIC STUDY ON PREDICTION OF DIFFERENTIAL SETTLEMENT OF OFFSHORE AIRPORT BY DYNAMIC MODE DECOMPOSITION WITH CONTROL

Abstract

Predicting the amount of consolidation settlement in reclaimed land, soft ground and so on is an important issue, and many methods have been proposed for the prediction. This study investigates the feasibility of prediction of settlement using Dynamic Mode Decomposition with Control (DMDc), which is one of the data-driven approaches. Since the measured data generally contains defects and noise, it is necessary to interpolate these and remove the noises. Gaussian process regression and HP filter are used to remove the noises and interpolate defects from the consolidation settlement data of 40 points in a site actually measured. Prediction of settlement by DMDc is performed for the data with a lot of noise and with little noise. It is shown that there is almost no difference between predictions by the two data when the dimensionality of DMD is reduced appropriately.