풍하중을 받는 초고층 건물의 진동가속도 모니터링 결과 분석과 응답 데이터만을 사용하는 시스템 식별기법들의 유효성 평가
Analysis of Vibration Acceleration Monitoring Data of Wind-induced Super-tall Building and Effectiveness Evaluation of System Identification Methods by using Output-only Data
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초록
본 연구에서는 초고층건축물의 풍진동 모니터링을 위한 시스템식별기법의 현장적용성을 평가하였다. 실제 아웃리거-벨트월을 횡력저항 시스템으로 가지는 실제 63층 RC구조물을 대상으로 상시 및 강풍시 응답을 모니터링하였으며, 진동수영역분해(FDD), 랜덤감소(RDT)기법, 부분공간시스템식별(SSI)법을 사용하여 진동특성을 식별하였다. 건물의 평면이 정방형이고, 두 개의 횡방향 모드의진동수는 매우 유사하였다. 모든 식별기법에서 태풍과 같이 강한 외력이 존재할 경우 뿐만 아니라 상시미진동 에서도 구조물의 모드특성을 식별할 수 있었다. 현장에서의 적용성 평가결과, 계산속도는 FDD가 가장 빨랐으며, RDT가 가장 간단한 프로그래밍 절차를 가지고 있음을 확인하였다.
Abstract
In this study, field applicability of system identification methods was evaluated for monitoring wind-induced responses of a super-tall building. Ambient and storing wind-induced responses of a real 63 story RC building with belt-wall and out-rigger as lateral load resisting system was monitored and the vibration characteristics were identified by using Frequency Domain Decomposition (FDD), Random Decrement Technique (RDT), and Subspace State space Identification (SSI). The building plan is square and the natural frequencies of the two translational modes are similar. Under strong wind, all the methods could identify accurately the modal frequencies, but only the FDD was effective for decomposing the ambient vibrations. Field applicability evaluation results indicate that FDD has the least time-efforts and RDT has the simplest programming procedure
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