The Conditional Mean Spectrum Based on the Robust Regression Analysis

M. Nourizadeh(1*), M. Mousavi(2), A. Azarbakht(3)

(1) Department of Civil Engineering, Arak University, Arak, Iran, Islamic Republic of
(2) Department of Civil Engineering, Arak University, Arak, Iran, Islamic Republic of
(3) Department of Civil Engineering, Arak University, Arak, Iran, Islamic Republic of
(*) Corresponding author


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Abstract


The conditional mean spectrum (CMS) has been recently proposed as an alternative to the uniform hazard spectrum (UHS) to be employed as a target spectrum in ground motion record selection. The CMS provides the expected response spectrum, conditioned on occurrence of a target spectral acceleration value at the period of interest. A robust regression analysis is proposed in this manuscript to improve the current CMS which is based on a conventional regression analysis. The results show that the proposed robust CMS significantly differs from the conventional CMS, especially for higher periods of interest. The shape of the robust CMS represents the rare ground motions in a more reliable manner, comparing with the conventional CMS
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Keywords


Conditional Mean Spectrum (CMS); Epsilon; Probabilistic Seismic Hazard Analysis; Robust Regression Analysis; Seismic Hazard; Uniform Hazard Spectrum

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References


Bazzurro, P., Cornell, C.A, Disaggregation of seismic hazard. Bulletin of the Seismological Society of America, 1999. 89(2): p. 501-520.

Campbell, K.W. and Y. Bozorgnia, 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. Earthquake Spectra, 2008. 24(1): p. 139-171.

Haselton, C.B., et al., Accounting for Ground-Motion Spectral Shape Characteristics in Structural Collapse Assessment through an Adjustment for Epsilon. Journal of Structural Engineering, 2011. 137(3): p. 332-344.

Baker, J.W. and C.A. Cornell, Spectral shape, epsilon and record selection. Earthquake Engineering & Structural Dynamics, 2006. 35(9): p. 1077-1095.

Naeim, F., Lew, M., On the use of design spectrum compatible time histories. Earthquake Spectra, 1995. 11: p. 111-127.

Reiter, L., Earthquake Hazard Analysis: Issues and Insights. 1990, Columbia University Press: New York;254

Baker, J.W., Conditional Mean Spectrum: Tool for Ground-Motion Selection. Journal of Structural Engineering, 2011. 137(3): p. 322-331.

Tothong, P., Luco, N, Probabilistic seismic demand analysis using advanced ground motion intensity measures. Earthquake Engineering & Structural Dynamics, 2007. 36: p. 1837-1860.

Baker, J.W. and C.A. Cornell, Correlation of Response Spectral Values for Multicomponent Ground Motions. Bulletin of the Seismological Society of America, 2006. 96(1): p. 215-227.

Baker, J.W. and N. Jayaram, Correlation of spectral acceleration values from NGA ground motion models. Earthquake Spectra, 2008. 24(1): p. 299-317.

Rousseeuw, R.J., and Leroy, A. M., Robust Regression and Outlier Detection. 1987, New York: Wiley.

Holland, P., and Welsch, R., Robust regression using interatively reweighted least-squares. Communications in Statistics-Theory and Methods, 1977. 6(9): p. 813–827.

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


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