Hydraulic conductivity measurement of permeable friction course (PFC) experiencing two-dimensional nonlinear flow effects

dc.contributor.advisorCharbeneau, Randall J.en
dc.contributor.committeeMemberBarrett, Michael E.en
dc.contributor.committeeMemberMaidment, David R.en
dc.contributor.committeeMemberMcKinney, Daene C.en
dc.contributor.committeeMemberSepehrnoori, Kamyen
dc.contributor.committeeMemberSharp, Jr., John M.en
dc.creatorKlenzendorf, Joshua Brandonen
dc.date.submittedMay 2010en
dc.description.abstractPermeable Friction Course (PFC) is a layer of porous asphalt pavement with a thickness of up to 50 millimeters overlain on a conventional impervious hot mix asphalt or Portland cement concrete roadway surface. PFC is used for its driver safety and improved stormwater quality benefits associated with its ability to drain rainfall runoff from the roadway surface. PFC has recently been approved as a stormwater best management practice in the State of Texas. The drainage properties of PFC are typically considered to be governed primarily by two hydraulic properties: porosity and hydraulic conductivity. Both of these hydraulic properties are expected to change over the life of the PFC layer due to clogging of the pore space by trapped sediment. Therefore, proper measurement of the hydraulic properties can be problematic. Laboratory and field tests are necessary for accurately determining the hydraulic conductivity of the PFC layer in order to ensure whether the driver safety and water quality benefits will persist in the future. During testing, PFC experiences a nonlinear flow relationship which can be modeled using the Forchheimer equation. Due to the two-dimensional flow patterns created during testing, the hydraulic conductivity cannot be directly measured. Therefore, numerical modeling of the two-dimensional nonlinear flow relationship is required to convert the measureable flow characteristics into the theoretical flow characteristics in order to properly determine the isotropic hydraulic conductivity. This numerical model utilizes a new scalar quantity, defined as the hydraulic conductivity ratio, to allow for proper modeling of nonlinear flow in two-dimensional cylindrical coordinates. PFC core specimens have been extracted from three different roadway locations around Austin, Texas for the past four years (2007 to 2010). Porosity values of the core specimens range from 12% to 23%, and the porosity data suggest a statistical decrease over time due to trapped sediment in the pore space. A series of constant head tests used in the laboratory and a falling head test used in the field are recommended for measurement of PFC hydraulic characteristics using a modified Forchheimer equation. Through numerical modeling, regressions equations are presented to estimate the hydraulic conductivity and nonlinear Forchheimer coefficient from the measureable hydraulic characteristics determined during experimental testing. Hydraulic conductivity values determined for laboratory core specimens range from 0.02 centimeters per second (cm/s) to nearly 3 cm/s. Field measurements of in-situ hydraulic conductivity vary over a range from 0.6 cm/s to 3.6 cm/s. The results of this research provide well-defined laboratory and field methods for measurement of the isotropic hydraulic conductivity of PFC experiencing two-dimensional nonlinear flow and characterized by the Forchheimer equation. This methodology utilizes a numerical model which presents a proper solution for nonlinear flow in two-dimensions.en
dc.description.departmentCivil, Architectural, and Environmental Engineering
dc.subjectForchheimer equationen
dc.subjectNonlinear porous media flowen
dc.subjectPermeable friction courseen
dc.subjectPorous asphalt pavementen
dc.subjectTwo dimensional numerical modeling techniquesen
dc.subjectHydraulic conductivityen
dc.subjectAustin, Texasen
dc.titleHydraulic conductivity measurement of permeable friction course (PFC) experiencing two-dimensional nonlinear flow effectsen
thesis.degree.departmentCivil, Architectural, and Environmental Engineeringen
thesis.degree.disciplineCivil Engineeringen
thesis.degree.grantorUniversity of Texas at Austinen
thesis.degree.nameDoctor of Philosophyen

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