JOURNAL BROWSE
Search
Advanced SearchSearch Tips
Effect of Correlation Structure of Ground Motions on the Response of Structures
facebook(new window)  Pirnt(new window) E-mail(new window) Excel Download
 Title & Authors
Effect of Correlation Structure of Ground Motions on the Response of Structures
Ha, Seong-Jin; Han, Sang-Whan;
 
 Abstract
For seismic design for high-rise buildings and special structures, linear or nonlinear response history analysis (RHA) have been used for estimating accurate seismic demands of structures. In order to obtain satisfactory analysis results, proper selection of input ground motions are very important. Current seismic design provisions require a set of multiple ground motions rather than a single ground motion. Several studies reported that Trial-and-error procedure did not provide accurate and consistent selection results. Several procedures were proposed to select ground motions which have the mean and variance of their response spectra matching target response spectrum mean and variance. This study considers correlation structure with mean and variance of target response spectrum for selecting ground motions. The effect of correlation structure on seismic demand on structures is evaluated. NGA data base is used to construct ground motion library and 20-story steel moment frame is considered as model frame. This study showed that the effect of correlation structure on the seismic demands of the structure can not be neglected when selecting ground motions.
 Keywords
Response history analysis;response spectrum;ground motion;seismic design;correlation;
 Language
Korean
 Cited by
 References
1.
IBC 2012, International Building Code, International Code Council, Delmar Punlishes, 2012

2.
Abrahamson, N.A. and Silva, W.J., Empirical Response Spectral Attenuation Relations for Shallow Crustal Earthquakes, Seismological Research Letters, 68(1), p.p. 94-126, 1997 crossref(new window)

3.
Boore, David.M. and Atkinson, Gail M., Ground-Motion Prediction Equations for the Average Horizontal Component of PGA, PGV, and 5%-Damped PSA at Spectral Periods between 0.01s and 10.0s, Earthquake Spectra, Vol. 24, No. 1, p.p. 99-138, 2008 crossref(new window)

4.
Baker, J.W. and Cornell, C.A., A vector-valued ground motion intensity measure consisting of spectral acceleration and epsilon, Earthquake Engineering and Structural Dynamics, Vol. 34, Issue. 10, p.p. 1193-1217, 2005 crossref(new window)

5.
Baler, J.W. and Cornell, C.A., Correlation of Response Spectral Values for Multicomponent Ground Motions, Seismological Society of America, Vol. 96, No. 1, p.p. 215-227, 2006 crossref(new window)

6.
PEER NGA Strong Motion Database, 2005

7.
Gupta, A. and Krawinkler, H., Seismic demands for performance evaluation of steel moment resisting frame structures(SAC Task 5.4.3), Report No. 132, John A. Blume Earthquake Engineering Center, Stanford University, Stanford, CA. 1999.

8.
Jayaram, N., Lin, T., and Baker, J.W., A computationally efficient ground-motion selection algorithm for matching a target response spectrum mean and variance, Earthquake Specrta, in press, 2011

9.
석승욱, 한상환, 목표스펙트럼의 평균과 분산을 고려하기 위한 시뮬레이션 기반의 효율적인 지반운동기록 선정 알고리즘, 대한건축학회, 제 28권, 제 2호, p.p. 63-70, 2012

10.
United States Geological Survey, Custom Mapping and Analysis Tools, 2008

11.
Kottke, A.R. and Rathje. E.M., A semi-automated procedure for selecting and scaling recorded earthquake motions for dynamic analysis, Earthquake Spectra, Vol. 24, No. 4, 911-932, 2008 crossref(new window)

12.
Cimellaro. G.P., Correlation in spectral accelerations for earthquakes in Europe, Earthquake Engineering and Structural Dynamics, Vol. 42, Iss. 4, 623-633, 2013 crossref(new window)

13.
Parkash, V., Powell, G.H. and Campbell, S., DRAIN-2DX base program description and user guide, Rep. No. UBC/SEMM-9317, Univ. of California, Berkeley, CA, 1993.