Title
Model updating of multistory shear buildings for simultaneous identification of mass, stiffness and damping matrices using two different soft-computing methods
Abstract
In this research, two novel methods for simultaneous identification of mass-damping-stiffness of shear buildings are proposed. The first method presents a procedure to estimate the natural frequencies, modal damping ratios, and modal shapes of shear buildings from their forced vibration responses. To estimate the coefficient matrices of a state-space model, an auto-regressive exogenous excitation (ARX) model cooperating with a neural network concept is employed. The modal parameters of the structure are then evaluated from the eigenparameters of the coefficient matrix of the model. Finally, modal parameters are used to identify the physical/structural (i.e., mass, damping, and stiffness) matrices of the structure. In the second method, a direct strategy of physical/structural identification is developed from the dynamic responses of the structure without any eigenvalue analysis or optimization processes that are usually necessary in inverse problems. This method modifies the governing equations of motion based on relative responses of consecutive stories such that the new set of equations can be implemented in a cluster of artificial neural networks. The number of neural networks is equal to the number of degree-of-freedom of the structure. It is shown the noise effects may partially be eliminated by using high-order finite impulse response (FIR) filters in both methods. Finally, the feasibility and accuracy of the presented model updating methods are examined through numerical studies on multistory shear buildings using the simulated records with various noise levels. The excellent agreement of the obtained results with those of the finite element models shows the feasibility of the proposed methods.
Year
DOI
Venue
2011
10.1016/j.eswa.2010.10.026
Expert Syst. Appl.
Keywords
Field
DocType
coefficient matrix,shear building,neural network,artificial neural networks,modal shape,simultaneous identification,artificial neural network,finite element model,multistory shear building,system identification,neural network concept,state-space model,different soft-computing method,model updating,shear building model,noise effect,mass–damping–stiffness identification,modal parameter,state space model,degree of freedom,inverse problem,natural frequency,auto regressive,fir filter,finite impulse response,soft computing,equation of motion
Coefficient matrix,Modal testing,Computer science,Control theory,Matrix (mathematics),Finite element method,Inverse problem,Vibration,System identification,Modal
Journal
Volume
Issue
ISSN
38
5
Expert Systems With Applications
Citations 
PageRank 
References 
4
0.81
2
Authors
3
Name
Order
Citations
PageRank
Ebrahim Khanmirza140.81
Naser Khaji2404.35
Vahid Johari Majd315415.51