Technical Papers
Dec 17, 2015

Using Conditioned Random Field to Characterize the Variability of Geologic Profiles

Publication: Journal of Geotechnical and Geoenvironmental Engineering
Volume 142, Issue 4

Abstract

Geologic profiles cannot be identified with certainty due to inherent spatial variability and limited site-investigation data. Random field theory is a powerful tool for evaluating the spatial characteristics of soil and rock properties, but may overestimate the site variability if the site investigation data at borehole locations within the site are not considered. This paper aims to propose a method to generate a conditioned geologic random field based on available measurement information. It incorporates both direct and indirect information within the site to constrain the random field. The conditioned random field matches the measured data at the measurement locations, and has much-reduced uncertainty adjacent to the measurement locations due to spatial correlation. The proposed method is applied to evaluate the depth of Grade III rock surface at a construction site in Hong Kong using borehole data. With the proposed method, a more accurate description of the geologic profile can be obtained, which is desired for geotechnical design and construction.

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Acknowledgments

The research reported in this paper was substantially supported by the National Basic Research Program of China (Project No. 2011CB013506) and the Research Grants Council (RGC) of the Hong Kong SAR (Grants No. HKUST6/CRF/12R and 16212514). Valuable comments on this work from Dr. Shuihua Jiang are also acknowledged.

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Published In

Go to Journal of Geotechnical and Geoenvironmental Engineering
Journal of Geotechnical and Geoenvironmental Engineering
Volume 142Issue 4April 2016

History

Received: Jan 20, 2015
Accepted: Sep 2, 2015
Published online: Dec 17, 2015
Published in print: Apr 1, 2016
Discussion open until: May 17, 2016

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Authors

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X. Y. Li
Ph.D. Candidate, Dept. of Civil and Environmental Engineering, Hong Kong Univ. of Science and Technology, Clear Water Bay, Hong Kong.
L. M. Zhang, F.ASCE [email protected]
Professor, Dept. of Civil and Environmental Engineering, Hong Kong Univ. of Science and Technology, Clear Water Bay, Hong Kong (corresponding author). E-mail: [email protected]
J. H. Li
Lecturer, Centre for Offshore Foundation Systems, Univ. of Western Australia, Crawley, WA, Australia.

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