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doi:10.3850/978-981-08-7920-4_S2-S48-cd
Structural Damage Detection using Substructure Identification: Experimental Verification Study
C. G. Koh1 and Thanh N. Trinh2
1Department of Civil Engineering, National University of Singapore, Singapore.
2Applied Computing and Mechanics Laboratory, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland.
ABSTRACT
Structural damage may be detected and quantified in a non-destructiveway through identifying
changes in structural stiffness parameters using system identification. This paper presents a
substructural damage detection approach with focus on experimental study of a 10-story smallscale
steel frame. Ten damage scenarios are studied by sequentially reducing storey stiffness
values at five levels. The identification results show that the proposed damage detection
approach succeeds in locally identifying damage locations and quantifying reasonable damage
extents for multiple damages with some of them adjacent to one another. An advantage
of this substructural approach is that damage detection within a substructure is completely
independent of the other substructures. Furthermore, the magnitude of true damage always
exceeds that of maximum false damage by a reasonable margin.
Keywords: Damage detection, Substructures, Experiment, Structural dynamics, Structural health monitoring.
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