Damage detection from the variation of parameter matrices estimated by incomplete FRF data

Salam Rahmatalla, Hee-Chang Eun and Eun-Taik Lee

Abstract

It is not easy to experimentally obtain the FRF (Frequency Response Function) matrix corresponding to a full set of DOFs (degrees of freedom) for a dynamic system. Utilizing FRF data measured at specific positions, with DOFs less than that of the system, as constraints to describe a damaged system, this study identifies parameter matrices such as mass, stiffness and damping matrices of the system, and provides a damage identification method from their variations. The proposed parameter identification method is compared to Lee and Kim

Key Words

frequency response function; dynamic stiffness matrix; receptance; damping matrix; minimization.

Address

Salam Rahmatalla : Faculty of Department of Civil and Environmental Engineering, University of Iowa, Iowa City, USA Hee-Chang Eun : Faculty of Department of Architectural Engineering, Kangwon National University, Chuncheon, Korea Eun-Taik Lee : Faculty of Department of Architectural Engineering, Chung-Ang University, Seoul, Korea

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