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Smart Structures and Systems
  Volume 11, Number 1, January 2013, pages 1-17

Linear system parameter as an indicator for structural diagnosis of short span bridges
Chul-Woo Kim, Ryo Isemoto, Kunitomo Sugiura and Mitsuo Kawatani

    This paper intended to investigate the feasibility of bridge health monitoring using a linear system parameter of a time series model identified from traffic-induced vibrations of bridges through a laboratory moving vehicle experiment on scaled model bridges. This study considered the system parameter of the bridge-vehicle interactive system rather than modal ones because signals obtained under a moving vehicle are not the responses of the bridge itself but those of the interactive system. To overcome the shortcomings of modal parameter-based bridge diagnosis using a time series model, this study considered coefficients of Autoregressive model (AR coefficients) as an early indicator of anomaly of bridges. This study also investigated sensitivity of AR coefficients in detecting anomaly of bridges. Observations demonstrated effectiveness of using AR coefficients as an early indicator for anomaly of bridges.
Key Words
    AR coefficient; linear system model; health monitoring; bridge-vehicle interactive system; structural diagnosis
Chul-Woo Kim, Ryo Isemoto and Kunitomo Sugiura :Department of Civil and Earth Resources Engineering, Graduate School of Eng., Kyoto University, Kyoto, Japan
Mitsuo Kawatani : Department of Civil Engineering, Graduate School of Eng., Kobe University, Kobe, Japan

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