Viscosity prediction of CRM binders using artificial neural network approach-Reference-Cited by-同舟云学术

Viscosity prediction of CRM binders using artificial neural network approach

Published:2011-10 Issue:5 Volume:12 Page:485-495
ISSN:1029-8436
Container-title:International Journal of Pavement Engineering
language:en
Short-container-title:International Journal of Pavement Engineering

Author:

Xiao Feipeng,Putman Bradley J.,Amirkhanian Serji N.

Publisher

Informa UK Limited

Subject

Mechanics of Materials,Civil and Structural Engineering

Link

http://www.tandfonline.com/doi/pdf/10.1080/10298430903578903

Reference35 articles.

1. Chapter 9;Agrawal G.,1995

2. Absorption of Bitumen into Crumb Rubber Using the Basket Drainage Method

3. Chen, C.J., 1999. Risk-based liquefaction potential evaluation using cone penetration tests and shear wave velocity measurements, Dissertation (PhD). Clemson University, Clemson, SC

4. Danzer, M.C., 1999. Estimation of liquefaction-induced vertical and horizontal displacements using artificial neural networks and regression analysis. Dissertation (PhD). Clemson University, Clemson. SC

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