Proceedings of the TMIC 2022 Slope Stability Conference (TMIC 2022)

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A New Stochastic Response Surface Method in Spatial Variability Slope Stability Analysis

Authors
Sina Javankhoshdel1, *, Thomas Zeger2, Brigid Cami3, Helmut Wahanik4, Terence Ma3
1Rocscience, Toronto, OA, Canada
2University of Toronto, Toronto, Canada
3Rocscience, Toronto, Canada
4Huawei Technologies, Bengaluru, India
*Corresponding author. Email: sina.javankhoshdel@rocscience.com
Corresponding Author
Sina Javankhoshdel
Available Online 1 March 2023.
DOI
10.2991/978-94-6463-104-3_7How to use a DOI?
Abstract

Spatial variability is becoming more and more common in limit equilibrium slope stability analysis. With the recent advances in the abilities for limit equilibrium slope stability analysis to handle complicated models, it is more important than ever to have a fast and accurate method to perform slope stability analysis in spatially varying soils. The use of response surfaces is widely adopted in the literature to deliver efficient stochastic analyses. However, their implementation is usually deeply correlated with the choice of a field generation algorithm. This makes the response surface method inflexible since it sometimes requires the field generation algorithm to be completely rewritten. Finely discretized spatially varying random fields can have many random variables which make the response surface difficult to determine. To solve this, the authors have proposed a modified response surface guided approach to slope reliability analysis in spatially varying soils which is independent of the choice of field generation algorithm. This approach was evaluated using a two-dimensional problem, and validated by comparing its accuracy and speed against the traditional Monte Carlo simulation.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the TMIC 2022 Slope Stability Conference (TMIC 2022)
Series
Atlantis Highlights in Engineering
Publication Date
1 March 2023
ISBN
978-94-6463-104-3
ISSN
2589-4943
DOI
10.2991/978-94-6463-104-3_7How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Sina Javankhoshdel
AU  - Thomas Zeger
AU  - Brigid Cami
AU  - Helmut Wahanik
AU  - Terence Ma
PY  - 2023
DA  - 2023/03/01
TI  - A New Stochastic Response Surface Method in Spatial Variability Slope Stability Analysis
BT  - Proceedings of the TMIC 2022 Slope Stability Conference (TMIC 2022)
PB  - Atlantis Press
SP  - 61
EP  - 70
SN  - 2589-4943
UR  - https://doi.org/10.2991/978-94-6463-104-3_7
DO  - 10.2991/978-94-6463-104-3_7
ID  - Javankhoshdel2023
ER  -