Simulation of expansion in cement based materials subjected to external sulfate attack

Abstract

The standard test for length change in hydraulic-cement mortars exposed to sulfate solution, ASTM C1012-95, has been widely used by researchers to study the sulfate resistance of cement based materials. However, there are deficiencies in this test method including lengthy measuring period, insensitivity of the measurement tool to sulfate attack, effect of curing and pH change. So, in this study, a model will be built by artificial neural networks (ANNs) to simulate this test and overcome these defects. This model will deal with different types of cement in the presence of blast-furnace slag (GGBFS) or fly ash (PFA). From the results of simulations, it is possible to understand the impact of cement chemistry and these two types of additions on resistance of sulfate attack more readily, faster, and accurately. Such an understanding improves the decision making process in every stage of construction and maintenance and will help in better administration of resources.

Keywords

• Sulfate
• Fly ash (PFA)
• Ground granulated blast-furnace slag (GGBFS)
• Artificial neural network (ANN)