Extended Kalman Filter for Identification of Nonlinear Earthquake Responses of Bridges
نویسنده
چکیده
Identification of the nonlinear hysteretic behavior of a reinforced concrete (RC) bridge pier subjected to earthquake loads is carried out based on acceleration measurements of the earthquake motion and bridge responses. The modified Takeda model is employed to represent the hysteretic behavior of the RC pier with a small number of parameters, in which the nonlinear behavior is described by various rules of loading and reloading rather than analytical expressions. The sequential modified extended Kalman filter algorithm is proposed to identify the unknown nonlinear parameters and the state vector separately in two steps, so that the size of the problem for each identification procedure may be reduced and possible numerical problems may be avoided.
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