地震振动台
卡尔曼滤波器
情态动词
噪音(视频)
加速度
结构健康监测
峰值地面加速度
地震工程
鉴定(生物学)
帧(网络)
地震模拟
模态分析
计算机科学
工程类
算法
控制理论(社会学)
结构工程
地震动
物理
人工智能
图像(数学)
有限元法
生物
电信
化学
高分子化学
控制(管理)
经典力学
植物
作者
Yan Li,Yaozhi Luo,Huilin Wan,C. Chris Yun,Yanbin Shen
摘要
Identification of earthquake ground motion from structural health monitoring (SHM) data provides a good means to reconstruct seismic loads that are essential for postearthquake safety assessments and disaster simulations of structures. Because the data measured by an SHM system are structural absolute response, they cannot be directly applied to the structural motion equation, which is established in relative coordinate system. As such, this paper originally derives the motion equation in absolute coordinate system and then expands the equation into modal space. In addition, the proposed method allows for identifying earthquake ground motion using incomplete modal information and limited measurements through the standard Kalman filter. Subsequently, a numerical two-dimensional frame is used to validate the feasibility of the proposed method, and the influences of modal parameters and measurement noise on the identification accuracy are also fully investigated. The results show that the proposed method is sensitive to frequency and measurement noise but insensitive to modal shape and damping ratio. It is also found that the identified ground motion subjected to certain measure noise can still be reliably employed for postseismic response calculations of medium- and long-period structures. Finally, a shaking table test performing on a five-floor frame further demonstrates the effectiveness and accuracy of the proposed identification algorithm for practical application.
科研通智能强力驱动
Strongly Powered by AbleSci AI