TECHNICAL PAPERS
Apr 1, 2007

Probabilistic Constant-Strength Ductility Demand Spectra

Publication: Journal of Structural Engineering
Volume 133, Issue 4

Abstract

A procedure is presented to develop probabilistic constant-strength ductility demand spectra based on statistical analyses of the results of comprehensive dynamic time history simulations of bilinear single-degree-freedom systems. The procedure offers an approach to estimate both the mean and standard deviation of the ductility demand, given the normalized strength and fundamental system period. The probabilistic distribution of the ductility demands conditional on normalized strength and natural period is validated through goodness-of-fit test. The effects of post-yield stiffness ratio on ductility demand are also investigated. The proposed spectra can allow the treatment of the frequency content and peak intensity measure of the ground motion separately, and describe the state variation of a structure from elastic to inelastic as a function of the peak ground acceleration, which enables its application in stochastic seismic displacement analysis and probabilistic seismic demand analysis. An illustrative example of a seven-story planar frame structure is presented to demonstrate the applicability and utility of the proposed methodology.

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Acknowledgments

This research was funded by the Chinese National Science Foundation under Grant No. 50378034.

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Information

Published In

Go to Journal of Structural Engineering
Journal of Structural Engineering
Volume 133Issue 4April 2007
Pages: 567 - 575

History

Received: Mar 13, 2006
Accepted: Jul 31, 2006
Published online: Apr 1, 2007
Published in print: Apr 2007

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Notes

Note. Associate Editor: Panos Tsopelas

Authors

Affiliations

Wei-Jian Yi [email protected]
Professor, College of Civil Engineering, Hunan Univ., Changsha 410082, China. E-mail: [email protected]
Hai-Yan Zhang [email protected]
Instructor, Dept. of Civil Engineering, South China Univ. of Technology, Guangzhou 510640, China. E-mail: [email protected]
Sashi K. Kunnath [email protected]
Professor, Dept. of Civil and Environmental Engineering, Univ. of California, Davis, CA 95616. E-mail: [email protected]

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