Predicting the compressive strength of ground granulated blast furnace slag concrete using artificial neural network
Author:
Publisher
Elsevier BV
Subject
General Engineering,Software
Reference35 articles.
1. Durability of concrete incorporating non-ground blast furnace slag and bottom ash as fine aggregate;Yuksel;Building Environ,2007
2. Greening of the concrete industry for sustainable development;Mehta;Concr Int,2002
3. Effect of curing conditions on the mortars with and without GGBFS;Cakir;Construct Building Mater,2008
4. Effects of curing conditions on properties of concrete using slag replacement;Aldea;Cement Concr Res,2000
5. Strength and pore structure of ternary blended cement mortars containing blast furnace slag and silica fume;Bagel;Cement Concr Res,1998
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