Communication Dans Un Congrès Année : 2022

Probabilistic Seepage Analysis of Embankments With Different Types of Random Fields

Résumé

Probabilistic approaches based on reliability analysis have been developed considerably for carrying out dam risk analysis studies in the last years. The random field (RF) theory and Monte Carlo simulation (MCs) are widely used in geotechnical engineering which considers the numerical model with soil spatial variability, but seldom studies use this method in seepage analysis with RFs. In this study, probabilistic analysis of seepage through a dam was performed. The traditional deterministic seepage analysis method was extended to develop a probabilistic approach that accounts for the spatial variation of the hydraulic conductivity. The analysis of the variability of seepage in an earth dam will be analyzed in different types of random fields: classical stationary RFs, conditional RFs (to consider the position of available measurements), and nonstationary RFs (to consider the mean variation with depth). The numerical model will consider the random fields (RFs) of hydraulic conductivity. The three mentioned types of RFs are all implemented in the same Finite Element software named OptumG2. This article will also compare these three types of RFs according to the effect of the different result parameters of seepage analysis of hydraulic gradient.

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Dates et versions

hal-04357075 , version 1 (20-12-2023)

Identifiants

  • HAL Id : hal-04357075 , version 1

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Pierre Breul. Probabilistic Seepage Analysis of Embankments With Different Types of Random Fields. 8th International Symposium on Geotechnical Safety and Risk (ISGSR 2022), Dec 2022, Newcastle, Australia. ⟨hal-04357075⟩
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