Moisture Content and In-place Density of Cold-Recycling Treatments

Al-Qadi, Imad L.; Cao, Qingqing; Abufares, Lama; Wang, Siqi; Mohamed Ali, Uthman; Renshaw, Greg

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https://hdl.handle.net/2142/114156 Copy

Description

Title

Moisture Content and In-place Density of Cold-Recycling Treatments

Author(s)

• Al-Qadi, Imad L.
• Cao, Qingqing
• Abufares, Lama
• Wang, Siqi
• Mohamed Ali, Uthman
• Renshaw, Greg

Issue Date

2022-05

Keyword(s)

• Cold In-place Recycling
• Cold Central Plant Recycling
• Emulsion
• Moisture Content Curing
• Ground Penetrating Radar
• Density
• Dielectric Constant
• Simulations
• Electromagnetic Mixing Theory

Abstract

Cold-recycling treatments are gaining popularity in the United States because of their economic and environmental benefits. Curing is the most critical phase for these treatments. Curing is the process where emulsion breaks and water evaporates, leaving residual binder in the treated material. In this process, the cold-recycled mix gains strength. Sufficient strength is required before opening the cold-treated layer to traffic or placing an overlay. Otherwise, premature failure, related to insufficient strength and trapped moisture, would be expected. However, some challenges arise from the lack of relevant information and specifications to monitor treatment curing. This report presents the outcomes of a research project funded by the Illinois Department for Transportation to investigate the feasibility of using the nondestructive ground-penetrating radar (GPR) for density and moisture content estimation of cold-recycled treatments. Monitoring moisture content is an indicator of curing level; treated layers must meet a threshold of maximum allowable moisture content (2% in Illinois) to be considered sufficiently cured. The methodology followed in this report included GPR numerical simulations and GPR indoor and field tests for data sources. The data were used to correlate moisture content to dielectric properties calculated from GPR measurements. Two models were developed for moisture content estimation: the first is based on numerical simulations and the second is based on electromagnetic mixing theory and called the Al-Qadi-Cao-Abufares (ACA) model. The simulation model had an average error of 0.33% for moisture prediction for five different field projects. The ACA model had an average error of 2% for density prediction and an average root-mean-square error of less than 0.5% for moisture content prediction for both indoor and field tests. The ACA model is presented as part of a developed user-friendly tool that could be used in the future to continuously monitor curing of cold-recycled treatments.

Publisher

Illinois Center for Transportation/Illinois Department of Transportation

Series/Report Name or Number

FHWA-ICT-22-007

ISSN

0197-9191

Type of Resource

text

Language

en

Permalink

http://hdl.handle.net/2142/114156

DOI

https://doi.org/10.36501/0197-9191/22-007

Sponsor(s)/Grant Number(s)

IDOT-R27-227

Copyright and License Information

No restrictions. This document is available through the National Technical Information Service, Springfield, VA 22161.

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