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The Scientific World Journal
Volume 2013 (2013), Article ID 103713, 8 pages
http://dx.doi.org/10.1155/2013/103713
Research Article

Predicting the Impact of Multiwalled Carbon Nanotubes on the Cement Hydration Products and Durability of Cementitious Matrix Using Artificial Neural Network Modeling Technique

1Civil Engineering and Environment Faculty, Tarbiat Modares University, Tehran 111-14115, Iran
2Nanotechnology Research Center, Research Institute of Petroleum Industry, Tehran, Iran
3Civil Engineering Department, Iran University of Science and Technology, Tehran, Iran

Received 5 September 2013; Accepted 2 December 2013

Academic Editors: A. K. Gupta and G.-R. Li

Copyright © 2013 Babak Fakhim et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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