@Article{icces.2021.08354,
AUTHOR = {Ayumi Takahashi, Tomoyuki Tsuchiya, Keiichi Motoyama, Kazuhito Misaji},
TITLE = {Nonlinear Vibration Analysis of Seismic-isolation Laminated Rubber  Considering Bi-directional Restoring Force Model},
JOURNAL = {The International Conference on Computational \& Experimental Engineering and Sciences},
VOLUME = {23},
YEAR = {2021},
NUMBER = {1},
PAGES = {15--15},
URL = {http://www.techscience.com/icces/v23n1/42039},
ISSN = {1933-2815},
ABSTRACT = {The seismic-isolation laminated rubber is used as a means of 
suppressing damage to the structures caused by an earthquake. To design the 
seismically isolated structure, it is important to calculate the dynamic response 
reflecting the rubbers characteristics accurately. The authors have applied the 
nonlinear vibration analysis method using the restoring force model of the power 
function type to the seismic response analysis of seismic isolation rubber in 
horizontal unidirectional [1-3]. However, when seismic isolation laminated 
rubber is loaded in horizontal bi-direction, the seismic isolation laminated rubber 
is torsional deformed and breaks with less force than when loaded in 
unidirectional. It is necessary to extend the model which has been used for 
unidirectional analysis to the model which can be analyzed in bi-direction. As a 
previous study, Igarashi applied the MSS (Multiple Shear Springs) model, which 
is a physical model capable of horizontal bi-direction analysis, to the bilinear 
model and Park-Wen model, which are nonlinear vibration analysis methods [4]. 
The validity of the method was verified by comparing the calculated values of 
the vibration response analysis in the bi-direction with the measured values. In 
this study, we applied the MSS model to the restoring force model of power 
function type which can accurately express the restoring force characteristics of 
seismic isolation laminated rubber. The proposed model was discussed in 
comparison with the calculated value of the modified bilinear method using the 
MSS model.},
DOI = {10.32604/icces.2021.08354}
}