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System identification of multistoreyed non‐standard shear building using parametric state space modeling
Author(s) -
Borsaikia Arun Ch.,
Dutta Anjan,
Deb S. K.
Publication year - 2011
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.385
Subject(s) - parametric statistics , system identification , modal , state space representation , identification (biology) , state space , engineering , structural engineering , modal analysis , accelerometer , building model , computer science , algorithm , mathematics , simulation , finite element method , data modeling , statistics , chemistry , botany , software engineering , polymer chemistry , biology , operating system
The study presents a system identification technique for health monitoring of an existing shear building by adopting parametric state space modeling. A ground plus eight‐storeyed building with non‐uniform distribution of mass across floors (termed as non‐standard) has been considered for the present study. The building has been instrumented at a few selected floors with accelerometers. The identification technique requires input excitation as well as output acceleration responses of the structure. Least square technique has been utilized for the evaluation of the stiffness matrix, after having obtained the modal matrix for the entire structure by adopting an iterative approach. The system identification approach has also been applied to a numerically simulated model of the same building and the adequacy of the limited number of sensors in the instrumented building has been verified. The system identification technique using parametric state space modeling along with the iterative approach has been observed to be quite efficient in terms of evaluation of modal and system parameters of existing structures. Copyright © 2010 John Wiley & Sons, Ltd.