Dominant Parameters Controlling the Permeability of Compacted Fine-Grained Soils

Prakash, K.; Sridharan, A.; Prasanna, H. S.

doi:10.1007/s40098-016-0186-6

Cited by 8 publications

(8 citation statements)

References 11 publications

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“…The values of other parameters (e.g., r max0 , r min0 , differential order α and threshold hydraulic gradient I) are listed in the Figure 1. Results displayed in Figure 1 suggest that the proposed model calculated relationship between average flow velocity and hydraulic gradient is in good agreement with that determined by experimental data [36]. Results (Figure 1) also suggest a definitive positive correlation between the average flow velocity and hydraulic gradient.…”

Section: Resultssupporting

confidence: 78%

“…The availability of the proposed model Equation (12) depends on its ability to adequately fit experimental data [15]. To verify our quantitative model, the measured average flow velocity versus hydraulic gradient relationship in [36] and that predicted by our proposed model are compared ( Figure 1). In the experiment of Prakash K. et al [36], the flow velocity tests were conducted on soils at an effective consolidation stress of 6.25 kPa during loading process.…”

Section: Resultsmentioning

confidence: 99%

“…To verify our quantitative model, the measured average flow velocity versus hydraulic gradient relationship in [36] and that predicted by our proposed model are compared ( Figure 1). In the experiment of Prakash K. et al [36], the flow velocity tests were conducted on soils at an effective consolidation stress of 6.25 kPa during loading process. In our proposed model, the initial porosity of rock is 15%, the rock elastic modulus is 45 GPa, the rock Poisson's ratio is 0.23 and power law index is 3/4.…”

Section: Resultsmentioning

confidence: 99%

“…6.0x10 Experimental data for Sand A [37] The proposed model for Sand A Experimental data for Sand B [37] The proposed model for Sand B Experimental data for Sand C [37] The proposed model for Sand C Figure 1. A comparison between the experimental data [36], and results of the proposed model. Figure 2 provides a comparison of the relationship between average flow velocity and hydraulic gradient predicted by the proposed model with experimental data of [37].…”

Section: Resultsmentioning

confidence: 99%

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A Non-Linear Flow Model for Porous Media Based on Conformable Derivative Approach

et al. 2018

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Prediction of the non-linear flow in porous media is still a major scientific and engineering challenge, despite major technological advances in both theoretical and computational thermodynamics in the past two decades. Specifically, essential controls on non-linear flow in porous media are not yet definitive. The principal aim of this paper is to develop a meaningful and reasonable quantitative model that manifests the most important fundamental controls on low velocity non-linear flow. By coupling a new derivative with fractional order, referred to conformable derivative, Swartzendruber equation and modified Hertzian contact theory as well as fractal geometry theory, a flow velocity model for porous media is proposed to improve the modeling of Non-linear flow in porous media. Predictions using the proposed model agree well with available experimental data. Salient results presented here include (1) the flow velocity decreases as effective stress increases; (2) rock types of “softer” mechanical properties may exhibit lower flow velocity; (3) flow velocity increases with the rougher pore surfaces and rock elastic modulus. In general, the proposed model illustrates mechanisms that affect non-linear flow behavior in porous media.

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Section: Resultssupporting

confidence: 78%

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

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A Non-Linear Flow Model for Porous Media Based on Conformable Derivative Approach

et al. 2018

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“…For compacted expansive soils or fine-grained soils, the permeability characteristics are very important in the field applications like earthen embankments, dams, canal clay liners, and landfill liners, etc. Factors like placement conditions, soil pore fabric, type of mineral, and number of void spaces are governing the characteristics of permeability of fine-grained soils especially compacted one [25]. The objective of the current experimental investigation is to accomplish the work and analyze the permeability behavior of soils having fine particles compacted at various energy levels and different clay mineralogy.…”

Section: Introductionmentioning

confidence: 99%

Role of Clay Mineralogy in the Estimation of Permeability Coefficient in Compacted Fine-grained Soils

Prasanna¹,

Anil²

2023

cea

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The foundations constructed upon the soils are depending upon the three major criteria i.e., strength, stiffness, and stability. In all three cases, the subsoil is expected to be in a compacted state. In coarse-grained soils, the result of compaction is a problem of substantiality, whereas physicochemical sort of response for fine soils. There is comparatively limited research known about the effects of clay mineralogy on the permeability properties of fine-grained soils, as well as different placement conditions and energy levels. In this study, consolidation behavior will be estimated for the six field soils and one artificial soil having different liquid limits, the Mineralogical composition of clay, and its plasticity properties under placement conditions like 95% of the γd max on dry and wet sides, and at OMC. The permeability behavior of these soils under study is computed by calculating the IS Light and Heavy Compaction energy levels' corresponding consolidation properties (Cv and Mv) using five practical approaches that have been described in the literature. The coefficient of permeability (K) of soils is calculated accurately with a fair degree of accuracy by 1-D consolidation test data like Cv and Mv. The estimated values of K were compared with the K values obtained from experimental studies under various stages of loading, and it was observed that there was good agreement between the two. These results were validated using Abaqus software through Finite Element Modelling analysis.

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A Study on Secondary Compression of Compacted Fine-Grained Soils

Prasanna¹,

Rachana²,

Anusha³

et al. 2021

Lecture Notes in Civil Engineering

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Dominant Parameters Controlling the Permeability of Compacted Fine-Grained Soils

Cited by 8 publications

References 11 publications

A Non-Linear Flow Model for Porous Media Based on Conformable Derivative Approach

A Non-Linear Flow Model for Porous Media Based on Conformable Derivative Approach

Role of Clay Mineralogy in the Estimation of Permeability Coefficient in Compacted Fine-grained Soils

A Study on Secondary Compression of Compacted Fine-Grained Soils

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