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

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Spatial Variability of Input Motion in Stochastic Slope Stability

Authors
Pooneh Shah Malekpoor1, *, Susana Lopez-Querol1, Sina Javankhoshdel2
1University College London (UCL), London, WC1E 6BT, UK
2Rocscience, Inc., 54 St. Patrick St., Toronto, ON, M5T 1V1, Canada
*Corresponding author. Email: pooneh.shahmalekpoor.19@ucl.ac.uk
Corresponding Author
Pooneh Shah Malekpoor
Available Online 1 March 2023.
DOI
10.2991/978-94-6463-104-3_17How to use a DOI?
Keywords
Slope Stability; Seismic Slope Stability; PS Approach; Soil Spatial Variability; Spatial Variability of Input Load
Abstract

The slope stability has been widely analysed in the past, which demonstrates the significance of the subject in human life, especially in terms of life safety and economy. This is even more important in earthquake-prone areas where statically stable slopes may be triggered by the dynamic loads. Pseudo-static (PS) approaches are most used in the first stages of the regular assessment of seismic slope stability analysis. However, the spatial variability of the PS coefficient has not been considered so far in the realm of PS analyses, meaning that the value of the seismic coefficient is assumed to be constant at every location within a field while this is not true in the real case. The consideration of the variation of the PS coefficient is especially relevant to landslides in wide areas. This research aims at addressing this issue considering the stochastic nature of soils in seismic slope stability analysis within the framework of the limit equilibrium method (LEM) of slices, Monte Carlo (MC) simulation and random fields, termed 2D-RLEM. Results of parametric studies are presented, through which the sensitivity of stochastic slope stability problem to various factors, including different levels of spatially variable PS loading, the scale of fluctuation (SOF) of the PS coefficient random field, etc, are explored. It was concluded that the effect of different values assigned to the coefficient of variation and the SOF of the PS coefficient on the resulting slope probabilities of failure was more tangible for larger earthquakes.

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_17How 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  - Pooneh Shah Malekpoor
AU  - Susana Lopez-Querol
AU  - Sina Javankhoshdel
PY  - 2023
DA  - 2023/03/01
TI  - Spatial Variability of Input Motion in Stochastic Slope Stability
BT  - Proceedings of the TMIC 2022 Slope Stability Conference (TMIC 2022)
PB  - Atlantis Press
SP  - 179
EP  - 198
SN  - 2589-4943
UR  - https://doi.org/10.2991/978-94-6463-104-3_17
DO  - 10.2991/978-94-6463-104-3_17
ID  - Malekpoor2023
ER  -