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

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Probabilistic Assessment of Reinforced Soil Walls Using Fourth Moment Normal Transformation

Authors
Ekansh Agarwal1, 2, 3, *, Anindya Pain1, 2, 3, Annan Zhou1, 2, 3
1Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201002, India
2Geotechnical Engineering Group, CSIR-Central Building Research Institute, Roorkee, 247667, India
3School of Engineering, RMIT University, 124 La Trobe Street, Melbourne, VIC, 3000, Australia
*Corresponding author. Email: s3913922@student.rmit.edu.au
Corresponding Author
Ekansh Agarwal
Available Online 1 March 2023.
DOI
10.2991/978-94-6463-104-3_6How to use a DOI?
Keywords
FMNT; Reinforced soil wall; Probability; Random Variables; Moments; Distribution
Abstract

Fourth Moment Normal Transformation (FMNT) is an efficient method to probabilistically scrutinize the stability of reinforced soil walls (RSW). The methodology doesn’t require the assumption of the distribution of involved random variables to estimate the probability of failure (Pf) and subsequently the safety of RSW. Rather, the Pf is calculated using the first four moments (mean, standard deviation, skewness, and kurtosis) associated with the random variables. The present study is focused on assessing the stability of RWS using FMNT. The internal friction angle (ϕ), soil unit weight (γ), and the allowable reinforcement strength (Tult) are chosen as random variables. A detailed and straightforward procedure for using FMNT is presented besides comparing its accuracy with the results obtained using the first-order reliability method (FORM). Further, a clear comparison of the efficiency of FMNT is showcased by comparing the obtained results with those calculated using the Monte Carlo simulation (MCS). The results depict that the proposed concept can be smoothly used by researchers and practicing engineers in the field to obtain the probability distributions and consequently the Pf associated with RSW.

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_6How 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  - Ekansh Agarwal
AU  - Anindya Pain
AU  - Annan Zhou
PY  - 2023
DA  - 2023/03/01
TI  - Probabilistic Assessment of Reinforced Soil Walls Using Fourth Moment Normal Transformation
BT  - Proceedings of the TMIC 2022 Slope Stability Conference (TMIC 2022)
PB  - Atlantis Press
SP  - 55
EP  - 60
SN  - 2589-4943
UR  - https://doi.org/10.2991/978-94-6463-104-3_6
DO  - 10.2991/978-94-6463-104-3_6
ID  - Agarwal2023
ER  -