Examination of Pervious Pavement Pore Parameters with X-Ray Tomography
Publication: Journal of Environmental Engineering
Volume 141, Issue 10
Abstract
Pervious pavement (PP) is an infrastructure material that can alter rainfall-runoff relationships, filter particulate matter (PM), and sequester runoff constituents. Beyond a measure of total porosity (), less-commonly measured pore parameters and relationships thereof influence these phenomena. In this study, cementitious PP (CPP), used as a permeable surface for an exfiltration system loaded by runoff, was examined. X-ray tomography (XRT) was utilized to examine pore size and frequency, generate a total-to-effective porosity () relationship, quantify pore tortuosity (), and relationships for specific surface area (SSA), pore-size distributions , and . Gravimetric analyses were used for SSA based on mass as well as validation of XRT porosity. Results indicate that ranged from 10 to 30% while ranged from 4 to 27%. Relationships for (), SSA, , and median pore diameter () were represented with a power law model (PLM). Using the of pores ranged from 11,000 to while for , ranged from 12,000 to . XRT results show that the is hetero-disperse. () ranged from 2.9 to 5.9, compared to 1.4 for a monodisperse and uniform distribution of pore sizes. The relationship and probability density function (pdf) of () were Gaussian. Beyond the common index of , these parameters are building blocks for infiltration, filtration, evaporation, storage, and reaction components of models such as the storm water management model (SWMM) and computational fluid dynamics (CFD).
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Journal of Environmental Engineering
Volume 141 • Issue 10 • October 2015
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© 2015 American Society of Civil Engineers.
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Received: Nov 12, 2012
Accepted: Feb 20, 2014
Published online: Mar 16, 2015
Discussion open until: Aug 16, 2015
Published in print: Oct 1, 2015
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