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    Design of borehole deployments for slope stability analysis based on a probabilistic approach

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    COGE-D-20-00558R11.pdf
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    Description:
    Final Accepted Manuscript
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    Author
    Cai, Jing-sen
    Yeh, Tian-Chyi Jim
    Yan, E-chuan
    Tang, Rui-Xuan
    Hao, Yong-Hong
    Affiliation
    Department of Hydrology & Atmospheric Sciences, University of Arizona
    Issue Date
    2021-02-26
    Keywords
    Borehole deployment approach
    Conditional analysis
    Cross-correlation maps
    Slope stability analysis
    Spatial variability
    Undrained shear strength
    
    Metadata
    Show full item record
    Publisher
    Elsevier Ltd
    Citation
    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 Geotechnics
    Rights
    © 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 Ltd
    Note
    24 month embargo; first published online 26 February 2021
    ISSN
    0266-352X
    DOI
    10.1016/j.compgeo.2020.103909
    Version
    Final accepted manuscript
    Sponsors
    China Scholarship Council
    ae974a485f413a2113503eed53cd6c53
    10.1016/j.compgeo.2020.103909
    Scopus Count
    Collections
    UA Faculty Publications

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