Design of borehole deployments for slope stability analysis based on a probabilistic approach
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Final Accepted Manuscript
Affiliation
Department of Hydrology & Atmospheric Sciences, University of ArizonaIssue Date
2021-02-26Keywords
Borehole deployment approachConditional analysis
Cross-correlation maps
Slope stability analysis
Spatial variability
Undrained shear strength
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Elsevier LtdCitation
Cai, J. S., Yeh, T. C. J., Yan, E. C., Tang, R. X., & Hao, Y. H. (2021). Design of borehole deployments for slope stability analysis based on a probabilistic approach. Computers and Geotechnics, 103909.Journal
Computers and GeotechnicsRights
© 2020 Elsevier Ltd. All rights reserved.Collection Information
This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.Abstract
This study proposes a cross-correlation map-based borehole deployment approach for two-dimensional probabilistic slope stability analysis. This approach designs the layout of the proper number of boreholes based on the cross-correlation between the factor of safety and spatially variable soil strength every part of a slope. Numerically synthesized, undrained slopes are investigated as examples to illustrate the effectiveness of the proposed approach. Results demonstrate that the proposed approach is viable, and the cross-correlation maps are the appropriate metric for design slope borehole deployment. Using the cross-correlation maps, a small number of boreholes can sufficiently capture the large-scale heterogeneities that are critical to the slope stability. This information can help to identify the slip surface and improve the slope stability analysis. The small-scale heterogeneity, due to its short correlation structure or the residual covariance of the soil property field after conditioning using the borehole data, leads to a small amount of uncertainty in slope stability analysis. This small uncertainty could be vital to the slope stability analysis when the slope stability is close to the limit equilibrium state. © 2020 Elsevier LtdNote
24 month embargo; first published online 26 February 2021ISSN
0266-352XVersion
Final accepted manuscriptSponsors
China Scholarship Councilae974a485f413a2113503eed53cd6c53
10.1016/j.compgeo.2020.103909
