Identification of Torsionally Coupled Shear Buildings Models Using a Vector Parameterization
Joint Authors
Alvarez-Icaza, Luis
Concha, Antonio
Source
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-22, 22 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-06-22
Country of Publication
Egypt
No. of Pages
22
Main Subjects
Abstract EN
A methodology to estimate the shear model of seismically excited, torsionally coupled buildings using acceleration measurements of the ground and floors is presented.
A vector parameterization that considers Rayleigh damping for the building is introduced that allows identifying the stiffness/mass and damping/mass ratios of the structure, as well as their eccentricities and radii of gyration.
This parameterization has the advantage that its number of parameters is smaller than that obtained with matrix parameterizations or when Rayleigh damping is not used.
Thus, the number of spectral components of the excitation signal required to identity the structural parameters is reduced.
To deal with constant disturbances and measurement noise that corrupt acceleration measurements, Linear Integral Filters are used that guarantee elimination of constant disturbances and attenuation of noise.
American Psychological Association (APA)
Concha, Antonio& Alvarez-Icaza, Luis. 2016. Identification of Torsionally Coupled Shear Buildings Models Using a Vector Parameterization. Shock and Vibration،Vol. 2016, no. 2016, pp.1-22.
https://search.emarefa.net/detail/BIM-1119543
Modern Language Association (MLA)
Concha, Antonio& Alvarez-Icaza, Luis. Identification of Torsionally Coupled Shear Buildings Models Using a Vector Parameterization. Shock and Vibration No. 2016 (2016), pp.1-22.
https://search.emarefa.net/detail/BIM-1119543
American Medical Association (AMA)
Concha, Antonio& Alvarez-Icaza, Luis. Identification of Torsionally Coupled Shear Buildings Models Using a Vector Parameterization. Shock and Vibration. 2016. Vol. 2016, no. 2016, pp.1-22.
https://search.emarefa.net/detail/BIM-1119543
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1119543