Asphalt Pavement Thickness Estimation and Material Characterization
No Thumbnail Available
Date
2019-01
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Addis Ababa University
Abstract
Asphalt pavement is one of the most dominant infrastructure consuming huge
investment and play as a blood vessel to a nation. The surface layer of asphalt
pavement is a multilayer structure. It commonly has three sub-layers: the top surface
layer (Asphalt), the intermediate surface layer (Base course) and the following
surface layer (Sub base). The thicknesses of the surface layer and the top surface
layer have great importance on quality condition and maintenance of asphalt pavements.
Estimating asphalt pavement layer thicknesses and material type accurately helps
to evaluate the pavement condition. Common methods of estimation of these
parameters includes boring a hole (coring) at selected sampling points, used to
estimate the asphalt layer thicknesses and material characterization, have limitations.
Ground Penetrating Radar (GPR) represents an alternative non-destructive
approach which alleviates some of this limitation.
GPR signal processing is a non-destructive technique, particularly promising for
pavement characteristics interpretation. The accuracy of asphalt pavement layer
thicknesses estimation and material characterization depends on GPR data analysis
employing different estimation approaches and based on the incoming signal
from the radar. The focus of the thesis is to investigate asphalt pavement thickness
and material characterization using GPR data. Finite Difference Time Domain
(FDTD) simulation and GPRmax are tools used to validate the research. This
has to be taken seriously.
Description
Keywords
GPR, Matching Filter, Dielectric Constants, Asphalt Pavement Layer Thickness