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Nov 1, 2008

Reliability Index for Serviceability Limit State of Building Foundations

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Publication: Journal of Geotechnical and Geoenvironmental Engineering
Volume 134, Issue 11

Abstract

Extensive research has been conducted on reliability-based design (RBD) for the ultimate limit state (ULS). Several RBD codes have been developed and implemented around the world that calibrate the ULS design for a target ULS reliability index (βuls) . However, the serviceability limit-state (SLS) design still is considered using conventional deterministic approaches with an unknown SLS reliability index (βsls) . This paper presents a relationship between βsls and the βuls that is specified already in the RBD codes. This relationship is linear, and a key variable in it is the ratio (R) of the SLS capacity (Qsls) to the ULS capacity (Quls) . Both closed-form approximations and Monte Carlo simulations are used to characterize R probabilistically. For illustration, the relationship then is used to estimate βsls for augered cast-in-place piles designed in accordance with the RBD methodologies in the National Building Code of Canada. The results are highly dependent on the statistics of the limiting tolerable foundation settlement (ylt) . For larger ylt values, the calculated βsls>βuls , which means that ULS designs automatically satisfy SLS criteria. For smaller ylt values, SLS criteria begin to control the design. The importance of sound ylt criteria is stressed.

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Acknowledgments

The work described in this paper was supported by a grant from the Research Grants Council of the Hong Kong Special Administrative Region, China [Project No. 9041260 (CityU 121307)] and a grant from City University of Hong Kong (Project No. 7002072).

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Go to Journal of Geotechnical and Geoenvironmental Engineering
Journal of Geotechnical and Geoenvironmental Engineering
Volume 134Issue 11November 2008
Pages: 1587 - 1594

History

Received: Jul 10, 2007
Accepted: Mar 7, 2008
Published online: Nov 1, 2008
Published in print: Nov 2008

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Authors

Affiliations

Yu Wang, M.ASCE [email protected]
Assistant Professor, Dept. of Building and Construction, City Univ. of Hong Kong, Tat Chee Avenue, Kowloon, Hong Kong. E-mail: [email protected]
Fred H. Kulhawy, Dist.M.ASCE [email protected]
Professor, School of Civil and Environmental Engineering, Cornell Univ. Hollister Hall, Ithaca, NY 14853-3501. E-mail: [email protected]

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