Experimental Investigation on Non-Darcian Flow in Unbound Graded Aggregate Material of Highway Pavement

Dan, Han-Cheng; Liu, He; Xu, Bo

doi:10.1007/s11242-016-0640-z

Cited by 25 publications

(16 citation statements)

References 23 publications

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“…To further establish whether equation (2) suitably describes real geologic porous media representing different processes inducing pore geometry variation, we focused on the results from groups of previous laboratory experiments where geologic samples were deformed through compression (Dan et al, 2016;Gostick et al, 2006;Jones, 1987;Ma et al, 2015;Ma et al, 2016;Schrauf & Evans, 1986;Zhou et al, 2015), torsion (Okumura et al, 2009), shearing (Javadi et al, 2014;Wang, 2017), or decompression (Lindoo et al, 2016;Takeuchi et al, 2009), and from modeling experiments where pore networks with ducts of different shapes were systematically varied (Veyskarami et al, 2016), like we did with our CFD simulations discussed below. The complete details on the data set including the type of geologic porous media, the geometry-varying processes represented, and the fitted parameters are provided in Table S4 in the supporting information.…”

Section: Resultsmentioning

confidence: 99%

Universal Relationship Between Viscous and Inertial Permeability of Geologic Porous Media

Zhou

Chen

Wang

et al. 2019

Geophysical Research Letters

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Fluid flow through geologic porous media is represented by Darcy's law and its inertial and nonlinear extension, the Forchheimer equation. These relationships equate the product of the driving potential gradient and phenomenological coefficients representing momentum resistance and dissipation to flux. From decades of research, the coefficient of viscous permeability (kv) in Darcy's law is largely predictable, but this is not the case for the coefficient of inertial permeability (ki) in the Forchheimer equation. Synthesizing results from thousands of laboratory and field flow tests and pore‐scale flow model results, we show that ki can be predicted from kv via the equation ki = 1010kv3/2 across 12 and 20 orders of magnitude in kv and ki, respectively. Since it is related with ki, kv is thus sufficient for predicting flow across viscous to inertial regimes for most geologic porous media.

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Section: Resultsmentioning

confidence: 99%

Universal Relationship Between Viscous and Inertial Permeability of Geologic Porous Media

Zhou

Chen

Wang

et al. 2019

Geophysical Research Letters

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“…The role of rock blocks in bimsoil is always considered to be the important factor influencing the mechanical and physical properties. Xu et al [40], Liao [41], Dan et al [15], and Wang et al [10] have conducted a series of permeable test forbimsoil, they found that rock blocks in bimsoil have obvious effect on permeability coefficient. In our study, it was also found that rock blocks have an obvious influence on the critical hydraulic gradient.…”

Section: Discussionmentioning

confidence: 99%

“…The stress state of the bimsoil also has an obvious effect on the evolution of piping [29][30][31][32]. Studies have shown that for an undisturbed sample, the critical hydraulic gradient is smaller than undisturbed specimen [10,11,15]; therefore, the piping test should consider the factor of stress state. Figure 8 shows the research idea of the multiparameters evaluation and optimization for piping evolution.…”

Section: Piping Test Proceduresmentioning

confidence: 99%

Optimization of Multiple Seepage Piping Parameters to Maximize the Critical Hydraulic Gradient in Bimsoils

Wang

et al. 2017

Water

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Seepage failure in the form of piping can strongly influence the stability of block-in-matrix-soils (bimsoils), as well as weaken and affect the performance of bimsoil structures. The multiple-factor evaluation and optimization play a crucial role in controlling the seepage failure in bimsoil. The aim of this study is to improve the ability to control the piping seepage failure in bimsoil. In this work, the response surface method (RSM) was employed to evaluate and optimize the multiple piping parameters to maximize the critical hydraulic gradient (CHG), in combination with experimental modeling based on a self-developed servo-controlled flow-erosion-stress coupled testing system. All of the studied specimens with rock block percentage (RBP) of 30%, 50%, and 70% were produced as a cylindrical shape (50 mm diameter and 100 mm height) by compaction tests. Four uncertain parameters, such as RBP, soil matrix density, confining pressure, and block morphology were used to fit an optimal response of the CHG. The sensitivity analysis reveals the influential order of the studied factors to CHG. It is found that RBP is the most sensitive factor, the CHG decreases with the increase of RBP, and CHG increases with the increase of confining pressure, soil matrix density, and block angularity.

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“…In contrast, however, for natural sand and gravel deposits the grain size distribution is usually non-uniformly graded. Only a limited amount of studies provides information about both the grain size distribution of the material and the nonlinear flow behavior through non-uniformly graded granular materials (e.g., Yamada et al 2005;Dan et al 2016;Wang et al 2019). Hence, the understanding of nonlinear flow behavior through packed beds of graded natural sand and gravel deposits requires a much broader experimental dataset than provided in the present literature.…”

Section: Introductionmentioning

confidence: 95%

Nonlinear Flow Behavior in Packed Beds of Natural and Variably Graded Granular Materials

et al. 2019

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Under certain flow conditions, fluid flow through porous media starts to deviate from the linear relationship between flow rate and hydraulic gradient. At such flow conditions, Darcy's law for laminar flow can no longer be assumed and nonlinear relationships are required to predict flow in the Forchheimer regime. To date, most of the nonlinear flow behavior data is obtained from flow experiments on packed beds of uniformly graded granular materials (C u = d 60 /d 10 < 2) with various average grain sizes, ranging from sands to cobbles. However, natural deposits of sand and gravel in the subsurface could have a wide variety of grain size distributions. Therefore, in the present study we investigated the impact of variable grain size distributions on the extent of nonlinear flow behavior through 18 different packed beds of natural sand and gravel deposits, as well as composite filter sand and gravel mixtures within the investigated range of uniformity (2.0 < C u < 17.35) and porosity values (0.23 < n < 0.36). Increased flow resistance is observed for the sand and gravel with high C u values and low porosity values. The present study shows that for granular material with wider grain size distributions (C u > 2), the d 10 instead of the average grain size (d 50) as characteristic pore length should be used. Ergun constants A and B with values of 63.1 and 1.72, respectively, resulted in a reasonable prediction of the Forchheimer coefficients for the investigated granular materials.

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Experimental Investigation on Non-Darcian Flow in Unbound Graded Aggregate Material of Highway Pavement

Cited by 25 publications

References 23 publications

Universal Relationship Between Viscous and Inertial Permeability of Geologic Porous Media

Universal Relationship Between Viscous and Inertial Permeability of Geologic Porous Media

Optimization of Multiple Seepage Piping Parameters to Maximize the Critical Hydraulic Gradient in Bimsoils

Nonlinear Flow Behavior in Packed Beds of Natural and Variably Graded Granular Materials

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