Proceedings of the Rocscience International Conference (RIC 2023)

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RFEM Analysis of a Subway Station Considering Conditional Random Field

Authors
Elahe Mohammadi1, *, Sina Javankhoshdel2, Nicholas Vlachopoulos3, Reza Jamshidi Chenari3
1Shiraz University, Shiraz, Iran
2Rocscience Inc., Toronto, ON, Canada
3Royal Military College of Canada, Kingston, ON, Canada
*Corresponding author. Email: elahe.mohammadi@shirazu.ac.ir
Corresponding Author
Elahe Mohammadi
Available Online 8 November 2023.
DOI
10.2991/978-94-6463-258-3_60How to use a DOI?
Abstract

The concrete arch pre-support system (CAPS) is one of the construction methods of subway stations designed using deterministic soil strength parameters. A Finite Element Method (FEM) of analysis is used to calculate the design parameters, including the factor of safety and maximum displacement using deterministic soil strength values. In this study, the random and spatial variability of soil strength parameters for subway stations constructed using CAPS are considered for the first time to investigate the influence of the variability of these parameters on the design of subway stations. To generate spatially variable fields, first, selected artificial borehole data are employed in order to condition the spatially variable friction angle fields. Then, considering a typical value for the variability of the cohesion and the possible cross-correlation between the two, the spatially variable cohesion field is realized. Eventually, the design values are calculated using the Finite Element Method. Indeed, in this study, the importance of considering spatial variability for soil shear strength parameters is be addressed and its impact on the design of underground structures has been delineated. The results demonstrate that conditioning random fields and considering the cross-correlation between soil input parameters significantly reduce the level of uncertainty in the analysis and helps to render more reasonable and/or reliable results as input for design purposes.

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 Rocscience International Conference (RIC 2023)
Series
Atlantis Highlights in Engineering
Publication Date
8 November 2023
ISBN
978-94-6463-258-3
ISSN
2589-4943
DOI
10.2991/978-94-6463-258-3_60How 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  - Elahe Mohammadi
AU  - Sina Javankhoshdel
AU  - Nicholas Vlachopoulos
AU  - Reza Jamshidi Chenari
PY  - 2023
DA  - 2023/11/08
TI  - RFEM Analysis of a Subway Station Considering Conditional Random Field
BT  - Proceedings of the Rocscience International Conference  (RIC 2023)
PB  - Atlantis Press
SP  - 641
EP  - 654
SN  - 2589-4943
UR  - https://doi.org/10.2991/978-94-6463-258-3_60
DO  - 10.2991/978-94-6463-258-3_60
ID  - Mohammadi2023
ER  -