Model development for moisture content and density prediction for non-dry asphalt concrete using GPR data-Reference-Cited by-同舟云学术

Model development for moisture content and density prediction for non-dry asphalt concrete using GPR data

Published:2023-03-23 Issue:1 Volume:24 Page:
ISSN:1029-8436
Container-title:International Journal of Pavement Engineering
language:en
Short-container-title:International Journal of Pavement Engineering

Author:

Abufares Lama¹^ORCID,Cao Qingqing¹^ORCID,Al-Qadi Imad L.¹^ORCID

Affiliation:

1. Civil and Environmental Engineering, University of Illinois at Urbana–Champaign, Urbana, IL, USA

Publisher

Informa UK Limited

Subject

Mechanics of Materials,Civil and Structural Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/10298436.2023.2189720

Reference23 articles.

1. GPR Application for Moisture Content Prediction of Cold In-Place Recycling

2. Abufares L. Cao Q. and Al-Qadi I.L forthcoming. Prediction of moisture content in cold recycled asphalt concrete using ground penetrating radar data. The International Symposium on Non-destructive Testing in Civil Engineering August 16–18 2022. Zurich Switzerland .

3. Effective Approach to Improve Pavement Drainage Layers

4. Soil water saturation: Dielectric determination

5. ARRA (Asphalt Recycling and Reclaiming Association), 2015. Basic asphalt recycling manual. 2nd Edition. Illinois, USA: US Department of Transportation, Federal Highway Administration.

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