Publisher : Earthquake Engineering Society of Korea
DOI : 10.5000/EESK.2016.20.1.063
Title & Authors
A Method for Selecting Ground Motions Considering Target Response Spectrum Mean, Variance and Correlation - II Seismic Response Ha, Seong Jin; Han, Sang Whan;
This study is the sequel of a companion paper (I. Algorithm) for assessment of the seismic performance evaluation of structure using ground motions selected by the proposed algorithm. To evaluate the effect of the correlation structures of selected ground motions on the seismic responses of a structure, three sets of ground motions are selected with and without consideration of the correlation structure. Nonlinear response history analyses of a 20-story reinforced concrete frame are conducted using the three sets of ground motions. This study shows that the seismic responses of the frames vary according to ground motion selection and correlation structures.
Seismic performance evaluation;Ground motions;Correlation;Response history analysis;Seismic response;
Architectural Institute of Korea. Korean Building Code and Commentary. Architectural Institute of Korea; c2009.
Federal Emergency Management Agency (FEMA). Quantification of seismic performance factors. FEMA P695 report. SAC Joint Venture and FEMA, Washington, CD; c2009.
Federal Emergency Management Agency (FEMA). Seismic performance assessment of buildings. FEMA P58 report. SAC Joint Venture and FEMA, Washington, CD; c2012.
Hancock J, Bommer JJ. Using spectral matched records to explore the influence of strong-motion duration on inelastic structural response. Soil Dyn Earthq Eng. 2007 Apr;27(4):291-299.
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.
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.
Bommer JJ, Scherbaum F, Bungum H, Cotton F, Sabetta F, Abrahamson NA. On the use of logic trees for ground-motion prediction equations in seismic-hazard analysis. B Seismol Soc Am, 2005 Apr;95(2): 377-389.
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.
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.
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.
Baker JW, Jayaram N. Correlation of spectral acceleration values from NGA ground motion models. Earthq Spectra. 2008 Feb;24(1):299-317.
Chiou B, Darragh R, Gregor N, Silva W. NGA project strong-motion database. Earthq Spectra. 2008 Fev;24(1):23-44.
Haselton CB. Assessing seismic collapse safety of modern reinforced concrete moment frame buildings. Doctoral dissertation. Stanford University. c2006.
International Code Council. 2003 International Building Code, Falls Church, VA. c2003.
American Concrete Institute. Building Code Requirements for Structural Concrete (ACI 318-02) and Commentary (ACI 318R-02), Farmington Hills, MI. c2002.
Mazzoni S, McKenna F, Scott M H, Fenves GL. OpenSees command language manual. Pacific Earthquake Engineering Research (PEER) Center. c2006.
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.