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APPLICATION OF OFF‐LINE AND ON‐LINE IDENTIFICATION TECHNIQUES TO BUILDING SEISMIC RESPONSE DATA
Author(s) -
LOH C.–H.,
LIN H.–M.
Publication year - 1996
Publication title -
earthquake engineering and structural dynamics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.218
H-Index - 127
eISSN - 1096-9845
pISSN - 0098-8847
DOI - 10.1002/(sici)1096-9845(199603)25:3<269::aid-eqe554>3.0.co;2-j
Subject(s) - identification (biology) , system identification , modal , earthquake simulation , time domain , earthquake engineering , line (geometry) , geology , computer science , seismology , structural engineering , engineering , data mining , mathematics , botany , geometry , biology , chemistry , polymer chemistry , computer vision , measure (data warehouse)
The objectives of this paper are to present a comparison of the dynamic characteristics of a seven‐storey reinforced concrete building (Van Nuys–Holiday Inn) identified from four recorded strong‐motion response data (Whittier earthquake, Landers earthquake, Big Bear earthquake and Northridge earthquake). In the analysis, time‐domain methods for estimating the system parameters and the modal properties of the building are studied. Both off‐line and on‐line identification algorithms are applied to these seismic response data. Under the assumption of a linear time‐invariant system the ARX model and ARMAX model are used. Comparison of the identification results using different models are made. In addition, recursive procedures are adapted as on‐line identification and the time‐varying modal parameters are estimated. For structural systems under strong earthquake excitation, a recursive identification method, adaptive forgetting through multiple models (AFMM), is introduced to identify systems with rapidly changing parameters. Through the analysis of the seismic response data of the building subjected to four earthquakes the identification algorithm and the identification results are discussed.