Home

About

Advanced Search

Browse by Discipline

Scientific Societies

E-print Alerts

Add E-prints

E-print Network
FAQHELPSITE MAPCONTACT US


  Advanced Search  

 
Computational and experimental evaluation of hydraulic conductivity anisotropy in hot-mix asphalt
 

Summary: Computational and experimental evaluation of hydraulic
conductivity anisotropy in hot-mix asphalt
M. EMIN KUTAYk, AHMET H. AYDILEK*, EYAD MASAD{# and THOMAS HARMAN§**
Turner-Fairbank Highway Research Center-FHWA, 6300 Georgetown Pike Rm. F210, McLean, VA 22101, USA
Department of Civil and Environmental Engineering, University of Maryland, 1163 Glenn Martin Hall, College Park, MD 20742, USA
{Zachry Department of Civil Engineering, Texas A&M University, 3135 TAMU, College Station, TX 77843, USA
§Turner-Fairbank Highway Research Center-FHWA, 6300 Georgetown Pike Rm. F210, McLean, VA 22101, USA
(Received 10 January 2006; in final form 30 April 2006)
Moisture damage in asphalt pavements is one of the primary distresses that is associated with the
disintegration of the pavement surface, excessive cracking and permanent deformation. Moisture
damage is a function of the chemical and physical properties of the mix constituents, and the
distribution of the pore structure (microstructure), which affects fluid flow within the pavement. This
paper deals with the relationship between the hot-mix asphalt (HMA) microstructure and hydraulic
conductivity, which has traditionally been used to characterize the fluid flow in asphalt pavements.
Conventional laboratory or field measurements of hydraulic conductivity only provide information
about the flow in one direction and do not consider flow in other directions. Numerical modeling of fluid
flow within the pores of asphalt pavements is a viable method to characterize the directional distribution
of hydraulic conductivity. A three-dimensional lattice Boltzmann (LB) fluid flow model was developed
for the simulation of fluid flow in the HMA pore structure. Three-dimensional real pore structures of the
specimens were generated using X-ray computed tomography (CT) technique and used as an input in the

  

Source: Aydilek, Ahmet - Department of Civil and Environmental Engineering, University of Maryland at College Park

 

Collections: Engineering