Development of statistical models to simulate and optimize self-consolidating concrete mixes incorporating high volumes of fly ash
thesisposted on 08.06.2021, 10:52 authored by Rajeshkumar Patel
Self-consolidating concrete (See), a latest version of high performance concrete, has created tremendous interest today as it can be easily placed in congested reinforced concrete structures with difficult casting conditions. It also reduces the construction time and cost of the labor. Normally see is being developed using a superplasticizer to generate desired flow and a viscosity modifying admixture (VMA) to prevent segregation in the concrete. In this research project, instead of VMA, high volumes of fly ash were used along with superplasticizer to develop see. The minimum use of superplasticizer and optimum use of fly ash were desired to achieve required properties of see. The fly ash is expected to be useful not only in generating the flow but as segregation resistance as well. The aim of the present research project was to develop see for sustainable construction by optimizing the use of high volumes of fly ash with some proposed statistical models. The rheological study for paste and mortar was carried out first, and Bingham model parameters such as plastic viscosity and yield stress were correlated with the marsh cone flow of paste and fresh concrete properties such as slump flow and filling capacity. The limits for plastic viscosity, yield stress, and specific marsh cone flow of paste and mortar were identified for concrete mixes to be qualified for see. Four independent variables such as total binder content (limit 350 to 450 kg/m3), percentage of fly ash replacing cement (limit 30 to 60 %), % of superplasticizer (limit 0.1 to 0.6 %), and W/B (limit 0.33 to 0.45) were considered for design of experiment and for development of statistical models for see. Statistically balanced twenry-one concrete mixes were chosen and fresh concrete tests such as slump and slump flow, V -funnel flow, filling capacity, L-box, bleeding, air content, segregation, and initial and final setting time tests were performed. Seven harden concrete tests (for mechanical characteristics and durability) such as compressive strength (1, 7, 28-day), freezing and thawing cycles resistance, surface scaling resistance, rapid chloride permeability, modulus of elasticity, flexural strength, and drying shrinkage were performed to evaluate the performance of see. Five statistical models for important properties of see such as slump flow, I-day strength, 28-day strength, rapid chloride permeability, and material cost were developed. The limits of rheological parameters of pastes and mortars can be useful to predict the flow behavior of see and the proposed models can be useful to design and optimize see mixes incorporating high volumes of fly ash.