Asphalt concrete dynamic modulus prediction: Bayesian neural network approach

Author:

Asadi Babak12ORCID,Hajj Ramez1ORCID,Al-Qadi Imad L.1ORCID

Affiliation:

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

2. Department of Computer Science, University of Illinois at Urbana-Champaign, Urbana, IL, USA

Funder

Illinois Department of Transportation

Publisher

Informa UK Limited

Subject

Mechanics of Materials,Civil and Structural Engineering

Reference81 articles.

1. Advanced Research Associates, 2004. Design guide: design of New and rehabilitated pavement structures, NCHRP 1-37A project. Washington, DC: National Cooperative Highway Research Program, National Research Council.

2. Performance evaluation of recycled asphalt mixtures with various percentages of RAP from the rotary decomposition process

3. A new simplistic model for dynamic modulus predictions of asphalt paving mixtures;Al-Khateeb G.;Journal of the Association of Asphalt Paving Technologists,2006

4. Al-Qadi, I.L., et al., 2012. Impact of high RAP contents on structural and performance properties of asphalt mixtures. Rantoul, IL: Illinois Center for Transportation.

5. Al-Qadi, I.L., et al., 2015. Testing protocols to ensure performance of high asphalt binder replacement mixes using RAP and RAS. Rantoul, IL: Illinois Center for Transportation.

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