The improvement in computing systems and sensor technologies devotes to conduct data-driven structural health monitoring algorithms for existing civil infrastructures. Despite of the development of techniques, the uncertainty oriented from the measurement results in the discrepancy to the actual structural parameters and let engineers or decision makers hesitate to adopt such techniques. Many studies have shown that the modal identification results can be affected by the uncertainties due to the applied methods and the types of loading. This paper aims to compare the performance of modal identification methods using Structural Modal Identification Toolsuite (SMIT) which has been developed to facilitate multiple identification methods with a user-friendly designed platform. The data fed into SMIT processes three stages for the comprehensive identification including preprocessing, eigenvalue estimation, and post-processing. The seismic and white noise response for shear frame model was obtained from numerical simulation. The identified modal parameters is compared to the actual modal parameters. In order to improve the quality of coherence in identified modal parameters, several hurdles including modal phase collinearity and extended modal amplitude coherence were introduced. Numerical simulation conducted on the 5 dof shear frame model were used to validate the effectiveness of using these parameters.

A B S T R A C T
 1. 서 론
 2. Eigenvalue Realization Algorithm (ERA)
  2.1 ERA-NExT
  2.2 ERA-OKID-OO
  2.3 N4SID-OO
 3. MPC와 EMAC를 활용한 식별된 응답모드의 정확도 평가
  3.1 Modal Phase Collinearity
  3.2 Extended Modal Amplitude Coherence
 4. SMIT를 이용한 응답모드 식별
  4.1 백색 소음을 이용한 응답 모드 식별
  4.2 지진 하중을 이용한 응답 모드 식별
  4.3 소요 시간 비교를 통한 성능 검증
 5. 결 론
 REFERENCES

• 장민우(철도기술연구원 신교통혁신연구소) | Chang, Minwoo Corresponding author