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Structural identification using linear models and earthquake records
Author(s) -
Beck James L.,
Jennings Paul C.
Publication year - 1980
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/eqe.4290080205
Subject(s) - identification (biology) , measure (data warehouse) , modal , stiffness , linear model , earthquake engineering , system identification , geology , computer science , structural engineering , mathematics , engineering , seismology , data mining , statistics , chemistry , botany , polymer chemistry , biology
The problem of determining linear models of structures from seismic response data is investigated using ideas from the theory of system identification. The approach is to determine the optimal estimates of the model parameters by minimizing a selected measure‐of‐fit between the responses of the structure and the model. Because earthquake records are normally available from only a small number of locations in a structure, and because of noise in the records, it is necessary in practice to estimate parameters of the dominant modes in the records, rather than the stiffness and damping matrices of the linear model. A new algorithm is developed to determine the optimal estimates of the modal parameters. After tests with simulated data, the method is applied to a multi‐storey building using records from the 1971 San Fernando earthquake in California. New information is obtained concerning the properties of the lower modes of the building and the time‐varying character of the equivalent linear parameters.