Self-compacting concrete (SCC) became a strong candidate for various construction applications owing to its excellent workability, low labor demand, and enhanced finish-ability, and because it provides a solution to the problem of mechanical vibration and related noise pollution in urban settings. However, the production of Portland cement (PC) as a primary constituent of SCC is energy-intensive, contributing to about 7% of global carbon dioxide (CO2 emissions. Conversely, the use of alternative geopolymer binders (GBs) in concrete can significantly reduce the energy consumption and CO2 emissions. In addition, using GBs in SCC can produce unique sustainable concrete with unparallel engineering properties. In this outlook, this work investigated the development of some eco-efficient self-compacting geopolymer concretes (SCGCs) obtained by incorporating different dosages of fly ash (FA) and ground blast furnace slag (GBFS). The structural, morphological, and mechanical traits of these SCGCs were examined via non-destructive tests like X-ray diffraction (XRD) and scanning electron microscopy (SEM). The workability and mechanical properties of six SCGC mixtures were examined using various measurements, and the obtained results were analyzed and discussed. Furthermore, an optimized hybrid artificial neural network (ANN) coupled with a metaheuristic Bat optimization algorithm was developed to estimate the compressive strength (CS) of these SCGCs. The results demonstrated that it is possible to achieve appropriate workability and mechanical strength through 50% partial replacement of GBFS with FA in the SCGC precursor binder. It is established that the proposed Bat-ANN model can offer an effective intelligent method for estimating the mechanical properties of various SCGC mixtures with superior reliability and accuracy via preventing the need for laborious, costly, and time-consuming laboratory trial batches that are responsible for substantial materials wastage.
Hybrid fiber reinforced concrete can be defined as concrete that reinforced by two or more types of fibers. This study aims to study the mechanical properties of hybrid fiber reinforced concrete where the fibers used were consists of steel fiber and polypropylene fiber. For this purpose five mixes, one normal control mix and four hybrid fiber reinforced concrete mixes were prepared. The volume of steel and polypropylene fiber is kept content from 0.0 to 1%. Slump Test was carried out for each mix in the fresh state in order to determine the workability of the hybrid fiber reinforced concrete. Meanwhile, compressive test, flexural test and split tensile test were carried out to study the mechanical properties of the hybrid fiber reinforced concrete. From the slump test all specimens show low workability. For the result of Compressive split tensile and Flexural Test, the normal control mix shows normal strength development but all the hybrid fiber reinforced concrete mixes gain their strength higher the normal control mix. The expected outcome which is the strength of hybrid fiber reinforced concrete is higher than the strength of normal concrete did achieved. So, further research need to be carried out with some adjustments of methods or materials.
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