2016
DOI: 10.3141/2578-10
|View full text |Cite
|
Sign up to set email alerts
|

Permittivity Characterization of Unbound Granular Pavement Materials with a Modified Free-Space Approach

Abstract: Moisture has a considerable influence on the structural performance of unbound granular (UBG) pavements. Multioffset ground-penetrating radar has the potential to quantify moisture within these materials by measuring the permittivity of pavement layers. To enable moisture estimates from these field measurements, relationships between permittivity and volumetric moisture are required. This paper describes the use of a modified free-space (MFS) laboratory approach to measure the permittivity of compacted UBG mat… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

0
11
0

Year Published

2016
2016
2018
2018

Publication Types

Select...
2
1

Relationship

1
2

Authors

Journals

citations
Cited by 3 publications
(11 citation statements)
references
References 29 publications
0
11
0
Order By: Relevance
“…Considering these issues and available techniques, a modified free‐space (MFS) approach was initially investigated as a potential method of measuring moist and compacted UBG samples for the purpose of calibrating GPR field measurements (Muller, Scheuermann, and Reeves ). Various aspects of the approach, including its accuracy compared to conventional apparatus and the influence of sample edges (Muller and Dérobert ), the influence of sample aspect ratio, antenna spacing, and beam pattern (Muller and Scheuermann ), previously have been investigated or discussed. While the approach has been used to measure the permittivity of moisture‐varying UBG samples from several quarry sources (Muller ), the influence of sample attributes such as density had not been investigated.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…Considering these issues and available techniques, a modified free‐space (MFS) approach was initially investigated as a potential method of measuring moist and compacted UBG samples for the purpose of calibrating GPR field measurements (Muller, Scheuermann, and Reeves ). Various aspects of the approach, including its accuracy compared to conventional apparatus and the influence of sample edges (Muller and Dérobert ), the influence of sample aspect ratio, antenna spacing, and beam pattern (Muller and Scheuermann ), previously have been investigated or discussed. While the approach has been used to measure the permittivity of moisture‐varying UBG samples from several quarry sources (Muller ), the influence of sample attributes such as density had not been investigated.…”
Section: Introductionmentioning
confidence: 99%
“…Various aspects of the approach, including its accuracy compared to conventional apparatus and the influence of sample edges (Muller and Dérobert ), the influence of sample aspect ratio, antenna spacing, and beam pattern (Muller and Scheuermann ), previously have been investigated or discussed. While the approach has been used to measure the permittivity of moisture‐varying UBG samples from several quarry sources (Muller ), the influence of sample attributes such as density had not been investigated. As the approach is intended as a means of calibrating GPR measurements, it is important to understand how these variations affect MFS and GPR measurements.…”
Section: Introductionmentioning
confidence: 99%
“…These properties are determined by measuring scattering characteristics (Sparameters) using a Vector Network Analyser (VNA). Assuming the signal is a plane-wave travelling in low-loss conditions, the relative real ( r  ) and imaginary ( r    ) components of permittivity can be determined via [46]:…”
Section: Moisture-permittivity Relationsmentioning
confidence: 99%
“…The corresponding volumetric moisture content (θV) predictions presented in Figure 9 were calculated using the petro-physical relation developed previously [46]. The moisture content results determined via physical sampling are also shown for comparison in Figure 9 and are summarised in Table 2.…”
Section: Mullermentioning
confidence: 99%
See 1 more Smart Citation