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

<table>TGA results over time for paste cement with MWCNT at w/cm = 0.4, the calculated PHP<sub>loss</sub> (a) and CH<sub>loss</sub> (b) over time due to the evolution of hydration for different cement paste samples containing different percentages (0.1, 0.3, 0.5, and 1.0 wt%) of MWCNTs in comparison with control samples containing no MWCNT with w/cm = 0.4.</table>

The Scientific World Journal

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Figure 3: Predicting the Impact of Multiwalled Carbon Nanotubes on the Cement Hydration Products and Durability of Cementitious Matrix Using Artificial Neural Network Modeling Technique 

Figure 3 | Predicting the Impact of Multiwalled Carbon Nanotubes on the Cement Hydration Products and Durability of Cementitious Matrix Using Artificial Neural Network Modeling Technique 