Technical Papers
May 17, 2022

Reliability-Based Structural Design of Retaining Walls Supporting Spatially Variable Soils

Publication: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
Volume 8, Issue 3

Abstract

The performance of retaining walls is affected by spatial variability in the properties of the retained backfill. In practice, the conventional approach for designing retaining walls is deterministic and is based on ensuring acceptable factors of safety for different limit states of wall failure. One exception is the design method in Eurocode 7, where partial load and resistance factors are recommended to ensure a target level of safety in the design. The main limitation of partial load and resistance factors is that the recommended partial safety factors may not realistically incorporate the impact of spatial variability of the backfill properties, because the calibration studies that were conducted to determine the safety factors were not based on realistic random field modeling of the soils involved. Another limitation is that existing geotechnical reliability-based design approaches for analyzing retaining walls focus on failure in the soil and do not include design aspects of the structural behavior of the wall itself. The main objective of this study is to quantify the probability of failure associated with the design of a cantilever retaining wall using approaches that are based on partial factors of safety (Eurocode 7). The objective is achieved by utilizing random fields that represent the variability in the backfill in the finite difference software FLAC 2D. The effect of the properties of the random field on the design of the retaining wall are investigated to provide recommendations that can aid in the design of cantilever walls supporting cohesionless backfill. Results indicate that the partial load factors recommended by Eurocode 7 may not meet safety requirements, particularly for high uncertainties in the backfill friction angle and for large vertical correlation lengths.

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Data Availability Statement

All data, models, or code that support the findings of this study are available from the corresponding author upon reasonable request.

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Go to ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
Volume 8Issue 3September 2022

History

Received: Jul 24, 2021
Accepted: Feb 12, 2022
Published online: May 17, 2022
Published in print: Sep 1, 2022
Discussion open until: Oct 17, 2022

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Batoul Tarhini [email protected]
Master’s Graduate, Dept. of Civil and Environmental Engineering, American Univ. of Beirut, P.O. Box 11-0236, Riad El-Solh 1107-2020, Lebanon (corresponding author). Email: [email protected]
Ahmad Kahiel [email protected]
Ph.D. Graduate, Dept. of Civil and Environmental Engineering, American Univ. of Beirut, P.O. Box 11-0236, Riad El-Solh 1107-2020, Lebanon. Email: [email protected]
Shadi Najjar, M.ASCE [email protected]
Associate Professor, Dept. of Civil and Environmental Engineering, American Univ. of Beirut, P.O. Box 11-0236, Riad El-Solh 1107-2020, Lebanon. Email: [email protected]
Professor, Dept. of Civil and Environmental Engineering, American Univ. of Beirut, P.O. Box 11-0236, Riad El-Solh 1107-2020, Lebanon. ORCID: https://orcid.org/0000-0002-0672-8305. Email: [email protected]

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