Determine the Optimal Model Parameters Using SRIM、SSI and RLS Methods on Structural System Identification
Date Issued
2008
Date
2008
Author(s)
Chien, Shao-Chun
Abstract
System identification is a procedure to determine the system characteristics of structure and the parameters of mathematical model for structural mechanics from measured input and output data.. The purpose of this paper is to identify ways in various systems of unknown parameters required to seek a systematic planning,so that different users can have a detailed process and the definition of reference. ere, we introduced three identification methods, respectively are System Realization using Information Matrix (SRIM)、Stochastic Subspace Identification method(SSI) and Recursive Least Squares with ARX model (RLS), Were in accordance with the parameters in the way for a complete selection criteria, to modal physical parameters (natural frequency, damping ratio and the mode shape) as the basis for comparison between the methods. In order to verify the steps proposed in this paper to identify the feasibility and effectiveness, first of all, we choose a simulated three floors of the structure as a test and description. Application of this technology but also to all kinds of shaking table and the real test of the structure - the central Bai-shin building can have good results of the identification.
Subjects
System identification
System Realization using Information Matrix (SRIM)
Stochastic Subspace Identification method(SSI)
Recursive Least Squares with ARX model (RLS)
modal physical parameters
Type
thesis
File(s)![Thumbnail Image]()
Loading...
Name
ntu-97-R95521232-1.pdf
Size
23.32 KB
Format
Adobe PDF
Checksum
(MD5):6248f30af4cc5022d6105937f4d94beb