WAVELET-BASED NONLINEAR AUTOREGRESSIVE MOVING AVERAGE MODEL FOR IDENTIFICATION OF SMART CONCRETE STRUCTURES UNDER HIGH IMPACT LOADS

摘要

The present invention relates to a wavelet-based nonlinear auto-regressive moving average modeling method for identification of a smart concrete structure under a high load. The method includes: a first step of receiving data form a smart concrete structure in which an MR damper is installed as input; a second step of applying wavelet dissembling to the inputted data; a third step of applying a nonlinear auto-regressive moving average (NARMA) model to the data to which the wavelet dissembling is applied; and a fourth step of predicting the moving of the smart concrete structure from the data to which the model is applied.