考虑不确定性时结构损伤的扩展卡尔曼滤波反演分析

onsidering the measurement and model uncertainty in engineering structure, an interval inversion method of structure damage is proposed based on extended Kalman filter and genetic algorithm. The optimal estimation of state vector is obtained by extended Kalman filter under stochastic measurement uncertainty, while the model uncertainty is described by interval variables and genetic algorithm is used to translate the interval estimation to optimal solution of upper and lower bounds of state vector. The numerical cases show that the identified interval of damage parameters in the proposed method can indicate structure damage accurately, and the effect of different uncertainty on damage identification can be estimated correctly.