Abstract

The evaluation of slope stability of a three-dimensional slope requires identifying the critical slip surface with the minimum factor of safety, which is a complex optimization problem. Failure to identify the critical slip surface can lead to unconservative conclusions about the stability of a slope. This paper proposes a novel 3D surface-altering optimization method, which iteratively alters the geometry of a 3D slip surface to find the critical slip surface representing the minimum factor of safety in a slope. The geometry of the slip surface is defined via nonuniform rational basis spline (NURBS) curves formed over a plan grid of control points. The proposed method includes a series of five subroutines that apply various forms of transformations to the control points. These subroutines include minimization problems, which determine the optimal transformation parameters for minimizing the obtained factor of safety of the resulting slip surfaces. Given that any geometrically defined slip surface can be approximated using an equivalent series of NURBS control points, the proposed method can be used in efforts to further reduce the global factor of safety first obtained via conventional search methods, such as those involving spherical or ellipsoidal slip surfaces. To demonstrate its effectiveness, the proposed method was applied to further optimize the critical ellipsoidal slip surfaces reported in some numerical examples. Comparing the results with those limited to ellipsoidal slip surfaces, the proposed method was consistently able to identify slip surfaces with significantly lower factors of safety. The postaltered slip surfaces also matched closely with finite element shear strength reduction results. As such, the proposed method is effective in searching for critical slip surfaces and can be used as a final step in the critical surface searching routine.

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Data Availability Statement

Some or all data, models, or codes that support the findings of this study are available from the corresponding author upon reasonable request. The original software code is confidential; however, models prepared in for the paper can be provided upon request.

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International Journal of Geomechanics
Volume 22Issue 9September 2022

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Received: Oct 5, 2021
Accepted: Apr 24, 2022
Published online: Jul 11, 2022
Published in print: Sep 1, 2022
Discussion open until: Dec 11, 2022

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Terence Ma, Ph.D. [email protected]
Geomechanics Specialist, Rocscience Inc., 54 Saint Patrick St., Toronto, ON, Canada M5T 1V1. Email: [email protected]
Compute Developer Technology Engineer, NVIDIA, 431 King St. West, Toronto, ON, Canada M5V 3M4. ORCID: https://orcid.org/0000-0001-6021-7955. Email: [email protected]
Brigid Cami [email protected]
Geotechnical Software Developer, Rocscience Inc., 54 Saint Patrick St., Toronto, ON, Canada M5T 1V1. Email: [email protected]
Sina Javankhoshdel, Ph.D., A.M.ASCE https://orcid.org/0000-0002-5943-2700 [email protected]
Geomechanics Specialist, Rocscience Inc., 54 Saint Patrick St., Toronto, ON, Canada M5T 1V1 (corresponding author). ORCID: https://orcid.org/0000-0002-5943-2700. Email: [email protected]
Amir H. Gandomi, Ph.D., A.M.ASCE [email protected]
Professor, Univ. of Technology Sydney, Sydney, NSW 2007, Australia. Email: [email protected]

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