Premium
Identification of earthquake ground motion based on limited acceleration measurements of structure using Kalman filtering technique
Author(s) -
Li Yang,
Luo Yaozhi,
Wan HuaPing,
Yun ChungBang,
Shen Yanbin
Publication year - 2020
Publication title -
structural control and health monitoring
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.587
H-Index - 62
eISSN - 1545-2263
pISSN - 1545-2255
DOI - 10.1002/stc.2464
Subject(s) - earthquake shaking table , kalman filter , modal , noise (video) , acceleration , structural health monitoring , peak ground acceleration , earthquake engineering , identification (biology) , frame (networking) , earthquake simulation , modal analysis , computer science , engineering , algorithm , control theory (sociology) , structural engineering , ground motion , physics , artificial intelligence , botany , classical mechanics , biology , telecommunications , chemistry , control (management) , finite element method , polymer chemistry , image (mathematics)
Summary 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.