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Substructure identification for shear structures II: Controlled substructure identification
Author(s) -
Zhang Dongyu,
Johnson Erik A.
Publication year - 2013
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.1498
Subject(s) - substructure , identification (biology) , engineering , structural engineering , system identification , control theory (sociology) , computer science , control (management) , artificial intelligence , data modeling , botany , biology , software engineering
SUMMARY The companion paper proposed a substructure identification method for shear structures and derives the method's error analysis, demonstrating that the identification errors are closely related to two important structural responses: (i) the frequency response of the interstory acceleration of the identified story and (ii) the frequency response ratio between interstory accelerations of two adjacent stories. The identification accuracy of this substructure method can be improved by amplifying the first response and reducing the second response near the substructure natural frequency. Herein, a controlled substructure identification method is proposed, which utilizes two kinds of structural control systems, an active mass driver system, and a passive interstory brace system, to temporarily shift the system dynamics to improve the accuracy of parameter identification. The optimal parameters of two control systems are obtained by solving specially designed optimization problems. Because the accuracy of the controlled substructure identification does not directly depend on complex modal properties of the closed‐loop controlled structure but only on the controlled structural responses, the controlled substructure identification method is quite robust to control system errors. Numerical simulations demonstrate that both control methods did greatly improve the accuracy of the identification and were robust to fairly large feedback measurement noise. Copyright © 2012 John Wiley & Sons, Ltd.