Analysis of computational fluid dynamics (CFD) on fiber reinforced self-compacting concrete

Abstract

An experimental and CFD analysis of self-compacting concrete uses quarry dust and various partial flea ash substitutes, silica fumes, and both flea ash and silica fume combinations to construct a finely-structured polypropylene reinforced concrete beam. Using three different fractions of fiber volume, this article investigates the influence of polypropylene fibers on self-compacting concrete beams (2.0 percent, 2.5 percent and 3.0 percent). The M30 grade was taken into consideration. This study employed a computational fluid dynamics tool to model the experimental beam and failure scenarios. The three-dimensional CFD technique method used to model concrete beams has proven to be a reliable predictive tool for concrete beam analysis. However, when performing non-linear CFD analysis, it is critical to select appropriate finite elements and the correct mesh density in order to obtain a satisfactory solution to the problem. Furthermore, it has been discovered that linear regression may provide a good forecast of first crack load, deflection at first crack load, yield load, deflection at yield load, ultimate load, deflection at ultimate load, and ultimate load, deflection at ultimate load. There is a high level of agreement between the forecast and the test findings.