三维结构系统的两阶段系统辨识方法

IF 0.7 Q4 ENGINEERING, CIVIL
H. Katkhuda, Nasim Shatarat, K. Hyari
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引用次数: 0

摘要

本文提出了一种两阶段有限元系统识别技术,用于识别三维框架结构中的单元刚度和检测损伤。该技术在第1阶段结合了迭代最小二乘法,在第2阶段结合了无迹卡尔曼滤波器(UKF),仅使用有限的测量响应时间历程来识别元件的刚度,该响应时间历程仅为整个结构的四到六个加速度计,而非数十个加速度计的响应时间历程,并且假设施加在结构上的动载荷的时间历程未知。该方法将通过跟踪损坏和未损坏状态之间可记录动态输出响应的变化来识别刚度并检测元件中的损坏。本文研究了加速度计的最佳数量和位置。通过算例验证了该算法的有效性。结果清楚地表明,该技术可以识别损坏和未损坏的三维钢框架结构,以及这种框架所需的最小传感器数量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Two-stage system identification approach for three-dimensional structural systems
A two-stage finite element system identification (SI) technique is proposed in this paper to identify stiffness of elements and detect damages in three-dimensional framed structures. The technique combines in stage 1 the iterative least-square and in stage 2 the unscented Kalman filter (UKF) to identify the stiffness of elements using only limited measured response time histories from only four to six accelerometers instead of dozens of accelerometers of the whole structure and assuming the time history of dynamic load applied on structure is unknown. The method will identify the stiffness and detect the damages in the elements by tracking the changes in the recordable dynamic output responses between damaged and undamaged states. The optimum number and locations of accelerometers were studied in this paper. The algorithm is verified using numerical examples. The results showed clearly that the technique can identify damaged and undamaged three-dimensional steel framed structures and the minimum number of sensors required for such frames.
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来源期刊
International Journal of Structural Engineering
International Journal of Structural Engineering Engineering-Civil and Structural Engineering
CiteScore
2.40
自引率
23.10%
发文量
24
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