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Title |
Damage estimation for structural safety evaluation using dynamic displace measurement
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Authors |
신윤수(Yoon-Soo Shin) ; 김준희(Junhee Kim) |
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DOI |
https://doi.org/10.11112/jksmi.2019.23.7.87 |
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Keywords |
변위데이터; 이산화된상태공간모델; 구조물물리량추정기법; 부공간시스템식별법 Displacement data; State-space model; Structural physical parameter estimation; Subspace system identification |
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Abstract |
Recently, the advance of accurate dynamic displacement measurement devices, such as GPS, computer vision, and optic laser sensor, has enhanced the structural monitoring technology. In this study, the dynamic displacement data was used to verify the applicability of the structural physical parameter estimation method through subspace system identification. The subspace system identification theory for estimating state-space model from measured data and physics-based interpretation for deriving the physical parameter of the estimated system are presented. Three-degree-freedom steel structures were fabricated for the experimental verification of the theory in this study. Laser displacement sensor and accelerometer were used to measure the displacement data of each floor and the acceleration data of the shaking table. Discrete state-space model generated from measured data was verified for precision. The discrete state-space model generated from the measured data extracted the floor stiffness of the building after accuracy verification. In addition, based on the story stiffness extracted from the state space model, five column stiffening and damage samples were set up to extract the change rate of story stiffness for each sample. As a result, in case of reinforcement and damage under the same condition, the stiffness change showed a high matching rate.
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