Proceedings of the Rocscience International Conference (RIC 2023)

Numerical Investigation of Reinforced Soil Segmental Walls Using Two-Dimensional Finite Element Analysis in RS2

Authors
Reza Jamshidi Chenari1, *, Pooya Dastpak2, Rita L. Sousa2, Edna Lizeth Ardila3, Carlos Rodriguez4, Sina Javankhoshdel5
1Royal Military College of Canada, Kingston, ON, Canada
2Stevens Institute of Technology, Hoboken, NJ, USA
3Huesker Ltd, São Paulo, Brazil
4HUESKER Inc, Charlotte, NC, USA
5Rocscience Inc, Toronto, ON, Canada
*Corresponding author. Email: Reza.Jamshidi-Chenari@rmc-cmr.ca
Corresponding Author
Reza Jamshidi Chenari
Available Online 8 November 2023.
DOI
10.2991/978-94-6463-258-3_37How to use a DOI?
Keywords
MSE wall; FEM; Geogrid reinforcement; Strain; Load
Abstract

The FEM software RS2’s efficiency in modelling an MSE wall was verified through numerical simulation of the significant structural components of a field-constructed MSE wall in Seattle, Washington. A 10.7-m high wall was simulated, and its performance was evaluated by plotting strain and load profiles for different geogrid reinforcement layers installed at various elevations. The simulation included modelling the backfill soil, which was compacted in stages under a compaction pressure of 8 kPa, along with three types of geogrid reinforcement layers installed with a spacing of 0.6 m. The wall's facing blocks, which were rigid modular blocks with a height of 0.2 m, were stacked in line with the backfill construction. All interfaces were modelled using an elastic-perfectly plastic model, and the model parameters were carefully selected from an accurately profiled field wall case study.

The results of the maximum and connection loads were compared with the corresponding measurements from the case under study. The longitudinal strain profiles were also predicted numerically and compared against a limited number of geogrid reinforcement layers. Overall, the comparisons were satisfactory, and RS2 demonstrated robust and versatile features in modelling such multi-feature geo-structures. This conclusion is valid, at least in the realm of serviceability conditions, as the strain levels in both the reinforcement layers and backfill soil remained below the serviceability limit states introduced by existing well-recognized construction codes.

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_37How 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

TY  - CONF
AU  - Reza Jamshidi Chenari
AU  - Pooya Dastpak
AU  - Rita L. Sousa
AU  - Edna Lizeth Ardila
AU  - Carlos Rodriguez
AU  - Sina Javankhoshdel
PY  - 2023
DA  - 2023/11/08
TI  - Numerical Investigation of Reinforced Soil Segmental Walls Using Two-Dimensional Finite Element Analysis in RS2
BT  - Proceedings of the Rocscience International Conference  (RIC 2023)
PB  - Atlantis Press
SP  - 362
EP  - 372
SN  - 2589-4943
UR  - https://doi.org/10.2991/978-94-6463-258-3_37
DO  - 10.2991/978-94-6463-258-3_37
ID  - Chenari2023
ER  -