Multiscale Performance Assessment of Sustainable Fiber-Reinforced Fly Ash Concrete Using High-Dimensional Model Representation (HDMR)

Abstract

This research examines the multiscale behavior of sustainable fiber-reinforced fly ash concrete (FRFAC) through High-Dimensional Model Representation (HDMR) to evaluate the sensitivity of different mix parameters on concrete's macroscopic properties. Fly ash, the waste product from coal combustion, is used as a partial cement replacement, which minimizes the carbon footprint of concrete production with increased sustainability. The incorporation of polypropylene fibers into the concrete mixture seeks to enhance mechanical properties such as tensile strength, flexural strength, and ductility. HDMR, a non-intrusive metamodeling method, is used to disintegrate the high-dimensional function of concrete performance into lower dimensions so that one can determine the most significant mix parameters. Important mix design parameters like the water-to-binder ratio, fiber content, and fly ash content are studied to understand their influence on the compressive strength, flexural strength, and durability of the concrete. The results help in gaining insights into how FRFAC formulations can be optimized to create sustainable yet high-performance concrete. The research proves that the mixture of fly ash and polypropylene fibers has the potential to improve the environmental and mechanical characteristics of concrete, and HDMR is a useful tool to investigate and optimize these intricate interactions.