【摘要】 研究环境激励下剪切型结构的层间刚度识别问题,提出了一种新的解决方法.该方法采用自然激励技术实现结构随机响应向确定性响应的过渡;推演了剪切型结构自由振动的参数解耦方程,简化了识别过程、降低了计算量.将自然激励技术、参数解耦方法和扩展卡尔曼滤波算法三者有效结合,为环境激励下剪切型结构的刚度识别提供了一个较好的解决方案.以一个6自由度剪切型结构为例,对该方法进行了数值模拟,结果表明:该方法能比较准确地识别结构层间刚度,可用于剪切型结构健康监测的实际工程.更多还原

【Abstract】 Inter-story stiffness identification of shearing structures under ambient excitation was studied and a new method was presented.In the method,the transition from structural random response to deterministic response was realized by the natural excitation technique(NExT).The parameter-decoupled free vibration equation of shearing structures was deduced,and the equation could simplify the process of identification and reduce the amount of calculation.Through the effective combination of the NExT,the parameter-decoupled method and the extended Kalman filter(EKF) algorithm,a good scheme was presented for inter-story stiffness identification of shearing structures under ambient excitation.Using a shearing structure with six-degree-of-freedom as example,the scheme was tested by numerical simulation.The results show that the inter-story stiffness can be identified basically with accuracy,and the scheme can be applied in practical projects for health monitoring of shearing structures.更多还原