TY - JOUR
T1 - Health Assessment of Infrastructures Using Limited Uncertain Dynamic Response Information following Earthquakes
AU - Al-Hussein, Abdullah
AU - Haldar, Achintya
N1 - Funding Information:
This study is based on work which is partially supported by the National Science Foundation under Grant No. CMMI-1403844 and partly supported by University of Basrah, Iraq. Any opinions, findings, conclusions, or recommendations expressed in this paper are those of the writers and do not necessarily reflect the views of the sponsors.
Publisher Copyright:
© 2021 Taylor & Francis Group, LLC.
PY - 2022
Y1 - 2022
N2 - A health assessment technique for infrastructures is presented following earthquakes using uncertainty-filled information. A system identification (SI)-based concept is used to identify the stiffness of structural elements following earthquakes. The excitation information is not required, and responses need not be measured at all dynamic degrees of freedom. To consider uncertainty in representing a structure and dynamic responses, a significantly modified unscented Kalman filter (UKF)-based approach is used. To implement UKF, a two-stage SI approach is proposed. It is verified using three-dimensional truss-frame systems. The procedure is robust and not sensitive to the variances of initial stiffness and measurement noise, the two most uncertainty-prone parameters.
AB - A health assessment technique for infrastructures is presented following earthquakes using uncertainty-filled information. A system identification (SI)-based concept is used to identify the stiffness of structural elements following earthquakes. The excitation information is not required, and responses need not be measured at all dynamic degrees of freedom. To consider uncertainty in representing a structure and dynamic responses, a significantly modified unscented Kalman filter (UKF)-based approach is used. To implement UKF, a two-stage SI approach is proposed. It is verified using three-dimensional truss-frame systems. The procedure is robust and not sensitive to the variances of initial stiffness and measurement noise, the two most uncertainty-prone parameters.
KW - Health assessment
KW - Kalman filter
KW - damage identification
KW - earthquake excitation
KW - system identification
KW - uncertainty analysis
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U2 - 10.1080/13632469.2021.1927891
DO - 10.1080/13632469.2021.1927891
M3 - Article
AN - SCOPUS:85106455324
SN - 1363-2469
VL - 26
SP - 6475
EP - 6493
JO - Journal of Earthquake Engineering
JF - Journal of Earthquake Engineering
IS - 12
ER -