Pore-structure models of hydraulic conductivity for permeable pavement

Kuang, X.; Sansalone, John J.; Guo, Ying; Ranieri, Vittorio

doi:10.1016/j.jhydrol.2010.11.024

Cited by 90 publications

(45 citation statements)

References 46 publications

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“…This emphasis on the measure of k is important because a significant research effort has been undertaken to model the motion of the water in porous pavements and PFCs (3,6,17,18,29) and the results of this research have highlighted the need for providing an accurate value of k to be introduced into the models. The basis of the porous medium flows is Darcy's law, v = k • J, assessing the direct proportionality between the filtration mean velocity (v) and the hydraulic gradient (J ) through k. Furthermore, the hypotheses involve a laminar flow through a saturated, isotropic, and homogeneous media.…”

Section: Methodsmentioning

confidence: 99%

Measurement of Hydraulic Conductivity in Porous Mixes

Ranieri

Colonna

Sansalone

et al. 2012

Transportation Research Record

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ity control (3)(4)(5)(6)(7)(8)(9). Whether utilized to model hydrologic, hydraulic, or filtration phenomenon, k is of interest throughout the functional life of porous pavement and PFCs.To increase the permeability, porous asphalts with voids (porosity) up to 25% to 30% are produced (10). Higher porosities are commonly not recommended because of structural considerations. Other authors indicate that typically PFCs are designed with a porosity ranging from 18% to 22% (5).To measure k, both laboratory and field permeameters are available. In the laboratory, the measurements required for determination of k are performed on pavement cores or on samples prepared ex situ with a mix design either before or after construction. In the field, the measurements required for determination of k are performed directly on the in situ pavement. Although permeameters are generally classified as constant head or falling head, or as either laboratory or field tests, there is a wide spectrum of permeameters within these classifications (11,12). A major consideration for the choice of permeameter is the anisotropy of the porous matrix and the choice of a separate determination for vertical (k v ) and horizontal (k h ) hydraulic conductivity. These separate determinations are more readily facilitated with laboratory permeameters but not always possible with field permeameters that do not allow a separate measure of k v and k h (11,13).The variability of results for k can be attributable to many factors. For example, results for k can be attributable to the different ranges of the applied hydraulic heads (Δh) or the degree of saturation in a specimen (13-15). Compaction modalities of the mixes also are a challenging issue (4). Moreover, tests have demonstrated that the k of the same porous mix measured in the field and in the laboratory can yield different results (11,16). Field determinations of k are commonly based on falling-head permeameters. Falling-head permeameters have been preferred because such methods are more practical, simpler, and rapid. For laboratory determination of k, aside from selecting a permeameter method that is based on the range of k, the constant-head permeameters are preferred, given that constant-head permeameters allow better control of the flow (12, 15).Whether the determination of k is through constant-or falling-head permeameters or through laboratory or field methods, the goal is determination of k that is accurate and universal. This can be useful for quality control during and after construction and for modeling the flow for prediction and design purposes. Recently research efforts have produced several models of flow for designing porous pavement and PFC that will improve the safety of drivers and control of the hydrologic response, PM, and PM-based chemicals (3,6,(15)(16)(17)(18). Development of these models is based on an accurate determination of k.This study reviews and examines methods and protocols for determination of k whether in the field or laboratory. The role of an accurate determination o...

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Section: Methodsmentioning

confidence: 99%

Measurement of Hydraulic Conductivity in Porous Mixes

Ranieri

Colonna

Sansalone

et al. 2012

Transportation Research Record

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“…The nonlinear reservoir model was chosen to calculate the runoff generation at each grid while the equation of kinetic wave was adopted to calculate the pipeline transmission system [23]. In addition, the determination of parameters, which is also determined by the field geotechnical exploration reports and previous settings on the underlying surface, refers to typical values in the user manual and related documents [24]. Parameters of grass swale and permeable pavement are shown in Table 1.…”

Section: Selection Of Model Parametersmentioning

confidence: 99%

Study on Storm-Water Management of Grassed Swales and Permeable Pavement Based on SWMM

Xie

et al. 2017

Water

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Grassed swales and permeable pavement that have greater permeable underlying surface relative to hard-pressing surface can cooperate with the city pipe network on participating in urban storm flood regulation. This paper took Nanshan village in Jiangsu Province as an example, the storm-water management model (SWMM) was used to conceptualize the study area reasonably, and the low-impact development (LID) model and the traditional development model were established in the region. Based on the storm-intensity equation, the simulation scene employed the Chicago hydrograph model to synthesize different rainfall scenes with different rainfall repetition periods, and then contrasted the storm-flood-management effect of the two models under the condition of using LID facilities. The results showed that when the rainfall repetition period ranged from 0.33a to 10a (a refers to the rainfall repetition period), the reduction rate of total runoff in the research area that adopted LID ranged from 100% to 27.5%, while the reduction rate of peak flow ranged from 100% to 15.9%, and when the values of unit area were the same, the combined system (permeable pavement + grassed swales) worked more efficiently than the sum of the individuals in the reduction of total runoff and peak flow throughout. This research can provide technical support and theoretical basis for urban LID design.

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“…During the process of infiltration, the infiltration rate would not be constant, but after a certain period, infiltration rate will eventually become steady and approach the value of saturated hydraulic conductivity (Aulenbach and Chan, ; Rajapakse and Ives, ; Kuang et al ., ). Previous studies have demonstrated that the unsaturated period only last approximately 30 min for porous pavement, and the performance under saturated condition is critical in real world for CPP functions as an infiltration media for runoff quantity control (Andersen et al ., ; Aulenbach and Chan, ; Kuang et al ., , (1)).…”

Section: Methodsmentioning

confidence: 99%

Coupled infiltration and filtration behaviours of concrete porous pavement for stormwater management

Kuang¹,

Fu²

2012

Hydrological Processes

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Cementitious porous pavement (CPP) is a structural low‐impact development material for rainfall–runoff management. Both infiltration and filtration are critical functions for CPP stormwater quality and quantity control. In this study, three groups of CPP specimens exposed to rainfall–runoff for 4 years and experienced with different maintenance intervals (6, 12 and 48 months, respectively) were used to examine CPP infiltration and filtration performance. Particle mass strained on CPP surface, saturated infiltration rate If, temporal infiltration rate I(t), suspended sediment concentration (SSC) and turbidity (τ) were measured to evaluate the process of filtration/infiltration. I(t), SSC and τ were examined less than 50 mg/l of the suspended particle loading. It was found that the CPP surface cleaning methods used in the past 4 years, namely, high pressure wash followed by vacuuming with one atmosphere (100 kPa), were effective, and a 12‐month maintenance interval was verified suitable to maintain the pore structure an acceptable infiltration rate for stormwater management. It was also found that CPP infiltration and filtration process affect each other, and the two properties are coupled in urban stormwater quality and quantity control. On the basis of the experimental measurements, the temporal infiltration rate of the cleaned CPP under a certain particle loading could be simulated by a first‐order nonlinear rational model, and effluent turbidity–SSC relationship was found following a power law. Copyright © 2012 John Wiley & Sons, Ltd.

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Pore-structure models of hydraulic conductivity for permeable pavement

Cited by 90 publications

References 46 publications

Measurement of Hydraulic Conductivity in Porous Mixes

Measurement of Hydraulic Conductivity in Porous Mixes

Study on Storm-Water Management of Grassed Swales and Permeable Pavement Based on SWMM

Coupled infiltration and filtration behaviours of concrete porous pavement for stormwater management

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