根据有限观测的结构动力响应,实时对结构发生损伤的时间、位置与损伤程度进行诊断,是目前土木工程健康监测的一个重要的任务。提出一种在对结构加速度部分观测的情况下,对结构刚度发生突变的结构损伤形式进行实时的追踪和诊断的算法。该算法的主要思想是首先基于扩展卡尔曼滤波识别结构刚度参数,然后通过观测加速度和计算预测的加速度误差平方和,对结构刚度发生突变时刻进行判断,再通过优化突变时的结构的刚度参数变化,对损伤位置与损伤程度进行识别。数值模拟和实验的结果都表明了,该方法能够有效地追踪时变参数,并实时诊断出损伤发生的时间、位置和程度。In health monitoring of civil structures,it is an important task to on-line detect the time instant,location and level of structural damage based on limited structure dynamic responses.Here,a damage detection approach was proposed for on-line tracking and detecting the abrupt degradations of structural stiffness using partial measurements of structural acceleration responses.The main idea of the proposed approach was to identify structural stiffness parameters based on extended kalman filter firstly,and detect the time instant of abrupt change of structural stiffness parameters based on the quadratic sum of deviations between observed and predicted acceleration responses.The exact locations and level of structural damages were determined by optimizing the change of structural stiffness parameters.Both a numerical example and an experimental verification demonstrated that the proposed approach is able to on-line detect the time instant,location and level of structural damage due to the abrupt degradation of structural stiffness.国家自然科学基金资助项目(51178406); 土木工程防灾国家重点实验室开放课题(SLDRCE10-MB-01
