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Parameter identification of inelastic structures under dynamic loads
Author(s) -
Zhang Haochuan,
Foliente Greg C.,
Yang Yongmin,
Ma Fai
Publication year - 2002
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.151
Subject(s) - convergence (economics) , identification (biology) , hysteresis , simplex , stability (learning theory) , trace (psycholinguistics) , computer science , filter (signal processing) , control theory (sociology) , algorithm , control (management) , mathematics , physics , geometry , artificial intelligence , linguistics , philosophy , botany , quantum mechanics , machine learning , economics , biology , economic growth , computer vision
The generalized model of differential hysteresis contains 13 control parameters with which it can curve‐fit practically any hysteretic trace. Three identification algorithms are developed to estimate the control parameters of hysteresis for different classes of inelastic structures. These algorithms are based upon the simplex, extended Kalman filter, and generalized reduced gradient methods. Novel techniques such as global search and internal constraints are incorporated to facilitate convergence and stability. Effectiveness of the devised algorithms is demonstrated through simulations of two inelastic systems with both pinching and degradation characteristics in their hysteretic traces. Owing to very modest computing requirements, these identification algorithms may become acceptable as a design tool for mapping the hysteretic traces of inelastic structures. Copyright © 2002 John Wiley & Sons, Ltd.