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Modified predictor–corrector numerical scheme for real‐time pseudo dynamic tests using state‐space formulation
Author(s) -
Zhang Yunfeng,
Sause Richard,
Ricles James M.,
Naito Clay J.
Publication year - 2005
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.425
Subject(s) - extrapolation , computation , state space , control theory (sociology) , stability (learning theory) , series (stratigraphy) , newmark beta method , linear system , dynamic testing , algorithm , computer science , mathematics , engineering , control (management) , finite element method , mathematical analysis , structural engineering , paleontology , statistics , software engineering , artificial intelligence , machine learning , biology
This paper deals with an explicit numerical integration method for real‐time pseudo dynamic tests. The proposed method, termed the MPC‐SSP method, is suited to use in real‐time pseudo dynamic tests as no iteration steps are involved in each step of computation. A procedure for implementing the proposed method in real‐time pseudo dynamic tests is described in the paper. A state‐space approach is employed in this study to formulate the equations of motion of the system, which is advantageous in real‐time pseudo dynamic testing of structures with active control devices since most structural control problems are formulated in state space. A stability and accuracy analysis of the proposed method was performed based on linear elastic systems. Owing to an extrapolation scheme employed to predict the system's future response, the MPC‐SSP method is conditionally stable. To demonstrate the effectiveness of the MPC‐SSP method, a series of numerical simulations were performed and the performance of the MPC‐SSP method was compared with other pseudo dynamic testing methods including Explicit Newmark, Central Difference, Operator Splitting, and OS‐SSP methods based on both linear and non‐linear single‐degree‐of‐freedom systems. Copyright © 2004 John Wiley & Sons, Ltd.