Effective dispersion in conditioned transmissivity fields

Darvini, Giovanna; Salandin, Paolo

doi:10.1016/j.advwatres.2014.09.013

Cited by 2 publications

(1 citation statement)

References 34 publications

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“…Stefanou (2009) has provided a state-of-the-art review of past and recent developments in the SFEM area and indicated future directions. Darvini and Salandin (2014) have analyzed the impact of conditioning to measurements of hydraulic transmissivity on the transport of a conservative solute using the stochastic FEM. Darvini (2016) has analyzed the impact of the boundary conditions on flow and transport solutions for the case of a two-dimensional heterogeneous medium based on the stochastic FEM.…”

Section: Introductionmentioning

confidence: 99%

Stochastic finite element analysis of rockfill dam considering spatial variability of dam material porosity

Hui

Liu

2019

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Purpose The purpose of this study is to develop a stochastic finite element method (FEM) to solve the calculation precision deficiency caused by spatial variability of dam compaction quality. Design/methodology/approach The Choleski decomposition method was applied to generate constraint random field of porosity. Large-scale laboratory triaxial tests were conducted to determine the quantitative relationship between the dam compaction quality and Duncan–Chang constitutive model parameters. Based on this developed relationship, the constraint random fields of the mechanical parameters were generated. The stochastic FEM could be conducted. Findings When the fully random field was simulated without the restriction effect of experimental data on test pits, the spatial variabilities of both displacement and stress results were all overestimated; however, when the stochastic FEM was performed disregarding the correlation between mechanical parameters, the variabilities of vertical displacement and stress results were underestimated and variation pattern for horizontal displacement also changed. In addition, the method could produce results that are closer to the actual situation. Practical implications Although only concrete-faced rockfill dam was tested in the numerical examples, the proposed method is applicable for arbitrary types of rockfill dams. Originality/value The value of this study is that the proposed method allowed for the spatial variability of constitutive model parameters and that the applicability was confirmed by the actual project.

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Section: Introductionmentioning

confidence: 99%