Technical Notes
Sep 27, 2012

Estimation of Maximum Pullout Shear Stress of Grouted Soil Nails Using Bayesian Probabilistic Approach

Publication: International Journal of Geomechanics
Volume 13, Issue 5

Abstract

The pullout resistance of soil nail is a key parameter in soil nailing design. Pullout resistance is affected by many factors, such as overburden pressure, grouting pressure, soil dilation, and degree of saturation of soil. Because of the complexity of the pullout mechanism, some factors have not been well incorporated in the current soil nail design methods. In this study, Bayesian analysis is performed to investigate the relative importance of several key factors and to build a new design formula to estimate maximum pullout shear stress of grouted soil nails. By using a series of laboratory soil nail pullout test data, Bayesian analysis is performed to select a predictive formula with suitable complexity and to identify its parameters. It is found that the most important factors are the degree of saturation and the product of grouting pressure and overburden pressure. It is shown that the proposed optimal model exhibits significantly stronger correlation with measurements than the existing effective-stress method for laboratory and field tests.

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Acknowledgments

The authors appreciate the continuous support and experiment data provided by Professor Yin Jian-Hua in the Hong Kong Polytechnic Univ. The generous support of the research committee of the Univ. of Macau under Research Grants MYRG189(Y2-L3)-FST11-ZWH and MYRG067(Y1-L2)-FST12-ZWH is gratefully acknowledged.

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Published In

Go to International Journal of Geomechanics
International Journal of Geomechanics
Volume 13Issue 5October 2013
Pages: 659 - 664

History

Received: Jan 27, 2012
Accepted: Sep 25, 2012
Published online: Sep 27, 2012
Published in print: Oct 1, 2013

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Authors

Affiliations

Wan-Huan Zhou, M.ASCE [email protected]
Assistant Professor, Dept. of Civil and Environmental Engineering, Faculty of Science and Technology, Univ. of Macau, Macau, China. E-mail: [email protected]
Ka-Veng Yuen [email protected]
Professor, Dept. of Civil and Environmental Engineering, Faculty of Science and Technology, Univ. of Macau, Macau, China (corresponding author). E-mail: [email protected]
Ph.D. Student, Dept. of Civil and Environmental Engineering, Faculty of Science and Technology, Univ. of Macau, Macau, China. E-mail: [email protected]

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