Advanced SearchSearch Tips
A Method for Selecting Ground Motions Considering Target Response Spectrum Mean, Variance and Correlation - I Algorithm
facebook(new window)  Pirnt(new window) E-mail(new window) Excel Download
 Title & Authors
A Method for Selecting Ground Motions Considering Target Response Spectrum Mean, Variance and Correlation - I Algorithm
Han, Sang Whan; Ha, Seong Jin; Cho, Sun Wook;
  PDF(new window)
It is important to select an accurate set of ground motions when conducting linear and nonlinear response history analyses of structures. This study proposes a method for selecting ground motions from a ground motion library with response spectra that match the target response spectrum mean, variance and correlation structures. This study also has addressed the determination of an appropriate value for the weight factor of a correlation structure. The proposed method is conceptually simple and straightforward, and does not involve a simulation algorithm. In this method, a desired number of ground motions are sequentially selected from first to last. The proposed method can be also used for selecting ground motions with response spectra that match the conditional spectrum. The accuracy and efficiency of the proposed procedure are verified with numerical examples.
Ground motions;Selection;Response spectrum;Mean;Variance;Correlation;
 Cited by
Wen YK, Wu CL. Uniform hazard ground motions for Mid-America cities. Earthq Spectra. 2011 May;17(2):359-384.

Han SW, Choi YS. Seismic hazard analysis in low and moderate seismic region-Korean peninsula. Struct Saf. 2008 Nov;30(6):543-558. crossref(new window)

Boore DM, Atkinson G.M. Ground-motion prediction equations for the average horizontal component of PGA, PGV, and 5%-damped PSA at spectral periods between 0.01 s and 10.0 s. Earthq Spectra. 2008 Feb;24(1):99-138. crossref(new window)

Abrahamson NA, Silva, WJ. Empirical response spectral attenuation relations for shallow crustal earthquakes. Seismol Res Lett. 1997 Jan/Feb; 68(1):94-127. crossref(new window)

Campbell KW, Bozorgnia Y. NGA ground motion model for the geometric mean horizontal component of PGA, PGV, PGD and 5% damped linear elastic response spectra for periods ranging from 0.01 to 10 s. Earthq Spectra. 2008 Feb;24(1):139-171. crossref(new window)

Baker JW, Cornell A. Spectral shape, epsilon and record selection. Earthq Eng Struct D. 2006 Apr;35(9):1077-1095. crossref(new window)

Baker JW, Jayaram N. Correlation of spectral acceleration values from NGA ground motion models. Earthq Spectra. 2008 Feb;24(1):299-317. crossref(new window)

Chiou B, Darragh R, Gregor N, Silva W. NGA project strong-motion database. Earthq Spectra. 2008 Fev;24(1):23-44. crossref(new window)

Naeim F. Alimoradi A. Pezeshk S. Selection and scaling of ground motion time histories for structural design using genetic algorithms. Earthq Spectra. 2004 May;20(2):413-426. crossref(new window)

Kottke A, Rathje EM. A semi-automated procedure for selecting and scaling recorded earthquake motions for dynamic analysis. Earthq Spectra. 2008 Nov;24(4):911-932. crossref(new window)

Jayaram N, Lin T, Baker JW. A computationally efficient groundmotion selection algorithm for matching a target response spectrum mean and variance. Earthq Spectra. 2011 Aug;27(3):797-815. crossref(new window)

Han SW, Ha SJ, Seok SW. Efficient and accurate procedure for selecting ground motions matching target response spectrum. Nonlinear Dynam. 2014 Oct;78(2):889-905. crossref(new window)

Wang G. A ground motion selection and modification method capturing response spectrum characteristics and variability of scenario earthquakes. Soil Dyn and Earthq Eng. 2011 Apr;31(4):611-625. crossref(new window)

Han SW, Seok SW. Efficient Procedure for Selecting and Scaling Ground Motions for Response History Analysis. J Struct Eng-ASCE. 2014 Jan;140(1):06013004. crossref(new window)

Baker JW. Conditional mean spectrum: Tool for ground-motion selection. J Struct Eng-ASCE. 2010 Feb;137(3):322-331.

Lin T, Harmsen SC, Baker JW, Luco N. Conditional spectrum computation incorporating multiple causal earthquakes and ground-motion prediction models. B Seismol Soc Am. 2013 Apr;103(2A):1103-1116. crossref(new window)