Spatial Variability of Earthquake Ground Motion and its Implications for the Dynamic Response of Extended Structures

Author(s):  
A.G. Sextos
2005 ◽  
Vol 90 (13) ◽  
pp. 73-80
Author(s):  
Miguel Ferreira ◽  
João Negrão

1953 ◽  
Vol 43 (2) ◽  
pp. 97-119
Author(s):  
G. W. Housner ◽  
R. R. Martel ◽  
J. L. Alford

Abstract The problem of the dynamic response of a structure to earthquake ground motion has been formulated in a manner which permits separation of the characteristics of particular structures from the characteristics of the earthquake. The expression involving the characteristics of the earthquake is defined as the “spectrum” of the earthquake and it is shown that the spectrum is a plot of the maximum response of a simple oscillator versus the period of the oscillator. Eighty-eight such spectra were computed by means of an electric analog computer and are presented in this paper. It is found that damping is a very important parameter in the over-all problem; relatively small amounts of damping reduce the structural response sharply. Further research on damping in buildings is recommended, and it is also proposed that the spectrum be used as a quantitative measure of earthquake intensity.


2012 ◽  
Vol 2012 ◽  
pp. 1-13
Author(s):  
Yingmin Li ◽  
Zheqian Wu ◽  
Huiguo Chen

Spatial variation of earthquake ground motion is an important phenomenon that cannot be ignored in the design and safety of strategic structures. However, almost all the procedures for the evaluation of variation assumed that the random field is homogeneous in space. It is obvious that reality does not fully conform to the assumption. How to investigate the inhomogeneous feature of ground motion in space is a challenge for researcher. A body-fitted grid-coordinates-based method is proposed to estimate and describe the local spatial variations for the earthquake ground motion; it need not to make the assumption that the random field of earthquake is homogeneous in space. An analysis of spatial variability of seismic motion in smart-1 array monitored in Lotung, Taiwan demonstrates this methodology.


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