Technical Papers
Aug 2, 2021

Efficient Probabilistic Stability Analysis of Geosynthetic Reinforced Slopes Using Collocation-Based Stochastic Response Surface

Publication: International Journal of Geomechanics
Volume 21, Issue 10

Abstract

This paper presents an efficient and robust probabilistic approach to analyze the geosynthetic reinforced slopes (GRSs). The deterministic analysis will be performed that employs the rigorous (5N−1) formulation of the horizontal slice method (HSM), which is made efficient using the nonlinear constrained optimization (N = number of slices). The probabilistic analysis will be performed using a surrogated assisted Monte Carlo simulation (MCS). Collocation based stochastic response surface (SRS) will be employed to build the surrogate model using a third-order multidimensional polynomial chaos expansion (PCE). The random variables include the internal friction angle of soil (ϕ), soil unit weight (γ), and tensile strength of the reinforcement (Tu). Dependence between the random variables will be established using the Gaussian copula. A comparative analysis of the results with the First-Order Reliability Method (FORM) will be presented. The performance function will be evaluated 125 times using the SRS method in contrast to the direct MCS where it will be evaluated ≥50,000 times. This will reduce the computation time from approximately 2 days to approximately 20 min. In addition, the influence of correlation between the random variables will be highlighted comprehensively by adopting a wide range of correlation coefficients. This study concludes that the SRS method that incorporates an accurate deterministic model is a highly efficient and powerful approach to analyze GRSs probabilistically.

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Acknowledgments

This research has been supported by the mission mode program of CSIR-Central Building Research Institute (CSIR-CBRI), Roorkee, India “Safety of Vital Infrastructures against Landslides (SOVIAL)” (HCP - 017). The authors acknowledge the financial support from CSIR-CBRI, Roorkee, India during this work. The authors are thankful to the anonymous reviewers for giving their precious time, constructive suggestions, and comments to enhance the quality of the manuscript.

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Go to International Journal of Geomechanics
International Journal of Geomechanics
Volume 21Issue 10October 2021

History

Received: Dec 2, 2020
Accepted: May 29, 2021
Published online: Aug 2, 2021
Published in print: Oct 1, 2021
Discussion open until: Jan 2, 2022

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Ph.D. Student, Academy of Scientific and Innovative Research (AcSIR), Ghaziabad 201002, India; Geotechnical Engineering Group, CSIR-Central Building Research Institute, Roorkee 247667, India. ORCID: https://orcid.org/0000-0003-4599-2544. Email: [email protected]
Assistant Professor, AcSIR, Ghaziabad 201002, India; Senior Scientist, Geotechnical Engineering Group, CSIR-Central Building Research Institute, Roorkee 247667, India (corresponding author). ORCID: https://orcid.org/0000-0002-7514-8099. Email: [email protected]

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Cited by

  • Probabilistic Assessment of Reinforced Soil Walls Using Fourth Moment Normal Transformation, Proceedings of the TMIC 2022 Slope Stability Conference (TMIC 2022), 10.2991/978-94-6463-104-3_6, (55-60), (2023).
  • Reliability assessment of reinforced slopes with unknown probability distribution, Geosynthetics International, 10.1680/jgein.21.00106, (1-13), (2022).

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