Correlation of ground motion intensity parameters used for predicting structural and geotechnical response

Bycombiningprobabilisticdescriptionsofgroundmotionintensitywithpredictionsofstructural or geo-technical response as a function of that intensity, it is possible to compute the seismic reliability of engineeringsystems.Thisapproachhasbeenusedforassessmentofstructuralreliabilityconsideringseismically- induced collapse, as well as geotechnical reliability considering liquefaction failures. But reliability assessments that simultaneously consider both structural and geotechnical failures are currently not possible using this approach, because structural and geotechnical responses are generally predicted using different ground motion intensityparameters,andthetoolsarenotyetavailablefordeterminingaprobabilisticcharacterizationofthejoint occurrence of these parameters. This paper develops models for the stochastic dependence between observed values of elastic response spectral values, peak ground acceleration, and Arias Intensity. By combining these correlation models with existing ground motion prediction equations, it is possible to characterize the joint distribution of the various ground motion intensity parameters needed to predict structural and geotechnical failures. The correlation coefficients of interest are calculated empirically from a large set of recorded and processed strong ground motions, and analytic predictive equations are fitted to the results. Once the correlation coefficients have been determined, a simple example calculation is performed to demonstrate the use of the result, and to illustrate the importance of considering this correlation when performing a seismic reliability analysis that considers both structural and geotechnical failures.

[1]  Michael H. Kutner Applied Linear Statistical Models , 1974 .

[2]  P. Franchin,et al.  Seismic Reliability Analysis of Structures , 2004 .

[3]  Anil K. Chopra,et al.  Dynamics of Structures: Theory and Applications to Earthquake Engineering , 1995 .

[4]  W. F. Marcuson,et al.  Liquefaction Resistance of Soils: Summary Report from the 1996 NCEER and 1998 NCEER/NSF Workshops on Evaluation of Liquefaction Resistance of Soils , 2001 .

[5]  C. Allin Cornell,et al.  Probabilistic Basis for 2000 SAC Federal Emergency Management Agency Steel Moment Frame Guidelines , 2002 .

[6]  Paolo Bazzurro,et al.  Vector-valued Probabilistic Seismic Hazard Analysis , 2001 .

[7]  Jack W. Baker,et al.  Which Spectral Acceleration are you Using? , 2006 .

[8]  Jonathan D. Bray,et al.  Empirical attenuation relationship for Arias Intensity , 2003 .

[9]  S. Kramer Geotechnical Earthquake Engineering , 1996 .

[10]  Paolo Bazzurro,et al.  SEISMIC HAZARD ANALYSIS OF NONLINEAR STRUCTURES. I: METHODOLOGY , 1994 .

[11]  R. Mcguire Seismic Hazard and Risk Analysis , 2004 .

[12]  Jack W. Baker,et al.  Vector-valued ground motion intensity measures for probabilistic seismic demand analysis , 2005 .

[13]  Robert Tibshirani,et al.  An Introduction to the Bootstrap , 1994 .

[14]  Jonathan D. Bray,et al.  An Empirical Geotechnical Seismic Site Response Procedure , 2001 .

[15]  Armen Der Kiureghian,et al.  STANDARD PENETRATION TEST-BASED PROBABILISTIC AND DETERMINISTIC ASSESSMENT OF SEISMIC SOIL LIQUEFACTION POTENTIAL , 2004 .

[16]  W. B. Joyner,et al.  Equations for Estimating Horizontal Response Spectra and Peak Acceleration from Western North American Earthquakes: A Summary of Recent Work , 1997 .

[17]  N. Abrahamson,et al.  Empirical Response Spectral Attenuation Relations for Shallow Crustal Earthquakes , 1997 .

[18]  A. Arias A measure of earthquake intensity , 1970 .

[19]  C. Cornell,et al.  Correlation of Response Spectral Values for Multicomponent Ground Motions , 2006 .

[20]  V. Barnett,et al.  Applied Linear Statistical Models , 1975 .