Spatial variation of seismic ground motions : modeling and by Aspasia Zerva

By Aspasia Zerva

The spatial version of seismic flooring motions denotes the diversities within the seismic time histories at a variety of destinations at the floor floor. this article makes a speciality of the spatial variability of the motions that's as a result of the propagation of the waveforms from the earthquake resource in the course of the earth strata to the floor floor, and it brings jointly a few of the elements underlying this advanced phenomenon.

Topics coated comprise:

  • Evaluation of the spatial variability from seismic info recorded at dense device arrays by way of sign processing techniques
  • Presentation of the main accepted parametric coherency versions, besides short descriptions in their derivation
  • Illustration of the explanations underlying the spatial edition of the motions and its actual interpretation
  • Estimation of seismic ground-surface lines from unmarried station info, spatial array files, and analytical methods
  • Introduction of the concept that of random vibrations as utilized to discrete-parameter and non-stop structural structures on a number of supports
  • Generation of simulations and conditional simulations of spatially variable seismic floor motions
  • Overview of the consequences of the spatial variability of seismic motions at the reaction of lengthy constructions, reminiscent of pipelines, bridges and dams, with short descriptions of decide on seismic codes that comprise spatial variability concerns of their layout strategies

This publication might function an academic and/or reference for graduate scholars, researchers and practising engineers attracted to advancing the present country of information within the research and modeling of the spatial version of the seismic flooring motions, or using spatially variable excitations within the seismic reaction review of lengthy buildings.

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Additional resources for Spatial variation of seismic ground motions : modeling and engineering applications

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64 and the M = 5 Hamming window, of the aligned time histories of Fig. 8 at the selected SMART 1 array stations: Part (a) presents the results between C00 and the inner ring stations I03, I06, I09 and I12, at a separation distance of 200 m, and part (b) those between C00 and the middle ring stations M03, M06, M09 and M12, at a separation distance of 1000 m. 4 Spatial Variation of Seismic Ground Motions COHERENCY The cross spectral density estimators of the last section fully describe the joint characteristics of the processes at two locations on the ground surface.

This section evaluates the joint stochastic characteristics of the motions between two stations, considering that the records at the two stations are realizations of a bivariate (vector) process. , the cross covariance function in the time domain or the cross spectral density in the frequency domain. 5. 1 CROSS COVARIANCE FUNCTION Similar to the definition of the autocovariance function (Eq. 48) and, again, as in Eq. 49) R˜ jk (t1 , t2 ) = R˜ aa (r j , t1 ; rk , t2 ) Considering next that the time histories have been demeaned, and, in addition, that they are jointly stationary, the cross covariance function of Eq.

12(b)). As was the case for the effect of smoothing on the power spectral density at C00 in Fig. 5, smoothing decreases the resolution of the spectral estimates, but, also, decreases their variance (Eq. 43). For completeness, Fig. 13 presents the smoothed (with an 11-point Hamming window) power spectral densities of the aligned data at C00 and the inner ring stations (Fig. 13(a)), and at C00 and the middle ring stations (Fig. 13(b)). There are minor differences between the estimators of the non-aligned (Fig.

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