항만케이슨 지반-구조 경계부의 AR Model 기반 손상식별 및 유한요소해석을 통한 노이즈 영향분석

Abstract

Recently, harbor construction and remodeling projects have been widely progressed. Therefore, structural health monitoring (SHM) on those structures is an important issue for evaluating the safety as well as for estimating the remaining time of service of these structures. In SHM, vibration-based methods have been studied by many researchers since as early as 1980s. The vibration-based method usually utilizes acceleration features to monitor the integrity of structure. In this study, auto-regressive (AR) model-based damage identification in foundation-structure interface of harbor caisson and noise effects are estimated by lab-scale model test and finite element analysis. In order to achieve the objectives, the following approaches are implemented. Firstly, AR model is selected for damage monitoring of foundation-structure interface of harbor caisson structures. Secondly, a vibration test is performed on a lab scale harbor caisson structure for the damage monitoring in foundation-structure interface. Finally damage cases simulated in foundation-structure interface are monitored by finite element analysis and noise effects are estimated on the accuracy of the selected SHM technique. The AR model-based analysis is compared with monitoring result using correlation coefficient of power spectrum density to verify its performance.