Examination of Pervious Pavement Pore Parameters with X-Ray Tomography

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

doi:10.1061/(asce)ee.1943-7870.0000826

Cited by 17 publications

(8 citation statements)

References 53 publications

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“…XRT can be used to obtain ϕ T , ϕ e and pore particle size distribution (PSD pore ) otherwise di cult to obtain with traditional methods. An analysis on 21 pervious concrete specimens (Kuang et al 2015) found agreement between XRT and gravimetric methods. XRT results on total porosity, effective porosity, median diameter and tortuosity were nearly independent of image resolution (Kuang et al 2015).…”

Section: Flow Through Permeable Porous Mediamentioning

confidence: 78%

“…An analysis on 21 pervious concrete specimens (Kuang et al 2015) found agreement between XRT and gravimetric methods. XRT results on total porosity, effective porosity, median diameter and tortuosity were nearly independent of image resolution (Kuang et al 2015).…”

Section: Flow Through Permeable Porous Mediamentioning

confidence: 78%

“…Such systems are within categories of Sustainable Urban Drainage Systems (SUDS) or LID (Low-Impact Development). Permeable pavement (PP) is categorized as a SUD or LID as a passive green infrastructure system mitigating runoff volume, ow as well as PM and PM-associated chemical loads (Marchioni and Becciu 2014, Kuang et al 2015, Ranieri et al 2010, Ranieri et al 2017). Hydrologic mechanisms include in ltration, evaporation and detention storage with the pore volume and porosity of the PP base material.…”

Section: Introductionmentioning

confidence: 99%

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Permeable Asphalt Hydraulic Conductivity and Particulate Matter Separation With XRT

Marchioni

Fedele

Raimondi

et al. 2021

Preprint

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Permeable asphalt (PA) is a composite material with an open graded mix design that provides a pore structure facilitating stormwater infiltration. PA is often used as a wearing course for permeable pavements and on roadways to reduce aquaplaning and noise pollution. The pore structure functions as a filter promoting particulate matter (PM) separation. The infiltrating flow characteristics are predominately dependent on pore diameter and pore interconnectivity. X-Ray microTomography (XRT) has been successfully used to estimate these parameters that are otherwise difficult to obtain through conventional gravimetric methods. The pore structure parameters allow modeling of hydraulic conductivity (k) and filtration mechanisms; required to examine the material behavior for infiltration and PM separation. Pore structure parameters were determined through XTR for three PA mixtures. The Kozeny-Kovàv model was implemented to estimate k. PM separation was tested using a pore-to-PM diameter categorical model. This filtration mechanism model was validated with data using rainfall simulation. The filtration model provided a good correlation between measured and modeled data. The identification of filtration mechanisms and k facilitate the design and evaluation of permeable pavement systems as a best management practice (BMP) for runoff volume and flow as well as PM and PM-partitioned chemical separation.

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Section: Flow Through Permeable Porous Mediamentioning

confidence: 78%

Section: Flow Through Permeable Porous Mediamentioning

confidence: 78%

Section: Introductionmentioning

confidence: 99%

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Permeable Asphalt Hydraulic Conductivity and Particulate Matter Separation With XRT

Marchioni

Fedele

Raimondi

et al. 2021

Preprint

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“…Through double-ring infiltrometer measurements, Rocheta et al (2015) determined that Portuguese cobblestone pavement was able to reduce runoff, with small-size cobbles performing the best with an average constant-head infiltration rate of 65 mm/hr. Kuang et al (2015) Water Quality. In addition to reducing runoff quantity, recent research has also increasingly started to investigate potential water quality improvements resulting from the use of permeable pavement (Brown and Borst, 2015b;Jiang, Sha et al, 2015;Nnadi et al, 2015…”

Section: Permeable Pavementmentioning

confidence: 99%

Urban Stormwater Characterization, Control, and Treatment

Vogel

Moore²

2016

Water Environment Research

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The following review presents a synthesis of 181 journal articles published during 2015 that represent progress toward better characterizing, controlling, and treating urban stormwater runoff. The review is structured by general topical areas related to (1) stormwater quality and quantity characterization; (2) engineered stormwater control and treatment practices, including erosion and sediment control, stormwater ponds, constructed stormwater wetlands, bioretention, permeable pavement, greenroofs, and rainwater harvesting systems; and (3) watershed-scale modeling and optimization of stormwater control and treatment practices. Common research themes emerging from this collection of studies include potential to enhance hydrologic and pollutant treatment performance of stormwater practices via media amendments and the use of innovative outlet control structures, as well as development of a more mechanistic understanding of hydrologic and water-quality functions to inform modeling and performance predictions. These studies serve to expand the field's knowledge base and will inform future efforts to further improve stormwater control and treatment at various spatial and temporal scales.

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“…Gao et al [5] investigated the size, shape and distribution characteristics of the coarse aggregates in the cold recycling mixes using CT scanning. Kuang et al [6] investigated the pore network properties of pervious concrete such as pore size distribution, porosity, tortuosity and specific surface area using X-Ray computed tomography. Shaheen et al [7] developed a framework for evaluated the fatigue characteristics of hot mix asphalt using the pore volume distributions obtained from CT scanning.…”

Section: Introductionmentioning

confidence: 99%

Digital sieving of pervious concrete air voids using X-ray computed tomography

Jagadeesh¹,

Ong²,

Su³

2019

Proceedings of the 11th Asia Pacific Transportation and the Environment Conference (APTE 2018)

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The design and quality assessment of the pervious concrete mixtures based on its structural and functional performance are greatly influenced by the microstructural properties of the internal pore structure. The main objective of this study is to investigate the internal pore structure properties of two different pervious concrete mixtures (gap graded mixtures with nominal maximum aggregate sizes including 9.5mm and 12.5mm) using X-Ray computed tomography and digital image processing. Image segmentation algorithms based on the histogram and laboratory volumetric characteristics of the pervious concrete mixtures have been utilised for the CT scan images. The key microstructural parameters of the air voids such as effective porosity, pore volume distribution, surface area distribution, elongation, flatness and shape factor distributions of the two different mixtures. It is expected that the developed procedure will serve as a valuable tool with potential applications in the current design methods of the pervious concrete pavements.

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Examination of Pervious Pavement Pore Parameters with X-Ray Tomography

Cited by 17 publications

References 53 publications

Permeable Asphalt Hydraulic Conductivity and Particulate Matter Separation With XRT

Permeable Asphalt Hydraulic Conductivity and Particulate Matter Separation With XRT

Urban Stormwater Characterization, Control, and Treatment

Digital sieving of pervious concrete air voids using X-ray computed tomography

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