Simulation of self-compacting concrete (SCC) passing ability using the L-box model for sustainable buildings

Abstract

The self-compacting concrete (SCC), which is the major innovation of the concrete technology of the 21st century, has been sustained due to its impact on the sustainable construction of infrastructures. Various additives have been coupled into the production of SCC to improve its passing ability, flow, shear stress, dynamic resistance and segregation resistance. The flow of the SCC is experimentally measured through various models, which include Slump-cone, V-funnel, L-box, U-box, J-ring, etc., by which the flowability, passing ratio (passing ability), etc., are determined. In this research paper, the L-box model has been used to simulate the flow output condition, which is the passing ratio (h2/h1) of the SCC, to optimize its passing ability for sustainable concreting. The passing ability of the SCC through the L-box was estimated by recording the heights at the upstream (h1) and downstream (h2) of the horizontal leg of the test box at the end of the flow through embedded steel bars. Stress and pressure boundary conditions for the flow state condition were deployed to solve the passing ratio simulation problem for the L-box model. The results show that the optimized passing ratio (flow output), h2/h1, falls within the appropriate European Guidelines for Self-Compacting Concrete (SCC) materials.

Numerical modeling of the funnel multiphysical flow of fresh self-compacting concrete considering proportionate heterogeneity of aggregates

“…The solid mechanics equations in ANSYS are typically based on the theory of elasticity or other appropriate constitutive models 9 . The coupling of ANSYS and SPH requires careful implementation and coordination between the two solvers 10 . It involves data transfer, interpolation, and synchronization between the fluid and structural domains.…”

“…Conversely, well-graded aggregates with smoother surfaces can enhance the flowability and reduce the flow time. While there are no specific equations that directly incorporate aggregate heterogeneity into the v-funnel test, there are mathematical models and empirical relationships that can help analyze the flow behavior of SCC 10 . These models consider the rheological properties of the concrete, such as its viscosity and yield stress, and can be used to predict flow times or simulate the flow behavior in different geometries 19 .…”

Compressive strength optimization and life cycle assessment of geopolymer concrete using machine learning techniques

“…Portland Cement is the most popular building material used throughout the construction industry. cement consumption is also increasing as a result of rising urbanization in emerging nations [8][9][10]. Cement production has a lot of environmental consequences.…”

Predicting the rheological flow of fresh self-consolidating concrete mixed with limestone powder for slump, V-funnel, L-box and Orimet models using artificial intelligence techniques

“…These materials could be either cement, fine aggregates, coarse aggregates, and limestone powder or in combination with plasticizers and high-rate waterreducing admixtures [18]. Further developments have shown solid waste-based admixtures perform the same purpose of increasing the SCC flowability [22][23][24][25][26]. Limestone Powder (LSP) has been used in previous research works as an admixture in the production of the SCC [18].…”