SUMMARYA damage detection algorithm of structural health monitoring systems for base-isolated buildings is proposed. The algorithm consists of the multiple-input multiple-output subspace identiÿcation method and the complex modal analysis. The algorithm is applicable to linear and non-linear systems. The story sti ness and damping as damage indices of a shear structure are identiÿed by the algorithm. The algorithm is further tuned for base-isolated buildings considering their unique dynamic characteristics by simplifying the systems to single-degree-of-freedom systems. The isolation layer and the superstructure of a base-isolated building are treated as separate substructures as they are distinctly di erent in their dynamic properties. The e ectiveness of the algorithm is evaluated through the numerical analysis and experiment. Finally, the algorithm is applied to the existing 7-story base-isolated building that is equipped with an Internet-based monitoring system.

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This paper proposes a damage identification algorithm 責 br structural health monitoring (SHM) systems ． Th じ proposed algorithm consists of ti 】 e multiple ・ input multip 【 e ・ output (MIMO) modai analysis and the ' physical parameter ' identi 血catbn ， A story sti飾 ess as a damage index of the stmcture is identi 丘ed using complex modal pammeters obtained by the MOESP subspace ident 面 cation method ． This algorithm was tuned to seismic isolated buildings considering their dynamics ， The effectiveness of the proposed algorithm was verified through the numericaL analysis ． The a弖 gorit was applied to a 4 − story seismic isolated building model The propesed algorithFi enhances tiie accuracy and reliability of the SHM systems ． KeyivordS：Stru 砌 厂α ' health monitoring ， Damage ゴ den'ifica'励 ， Story stgOhe ∬ ， Seismic iSO' ated building ， ＆め 卿 α 0θ 漉 π 岬 翩 fo 川 ne ' ゐ 04

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