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Computational modeling of fresh SCC flow is a comprehensive and time consuming task. The computational time is additionally increased when simulating casting of reinforced sections, where each single reinforcement bar has to be modeled. In order to deal with this issue and to decrease the computational time, an innovative approach of treating a reinforcement network as a porous medium is applied. This contribution presents the model for concrete flow through reinforced sections, based on Computational Fluid Dynamics (CFD), coupling a single-phase flow model for SCC and a continuum macroscopic model for porous medium. In the last part of this paper, numerical simulations are compared with experimental results obtained on model fluids.
This study focuses on concrete flow in presence of obstacles and develops a mathematical model and a computational approach for SCC flow through reinforced formworks. In order to decrease high computational times needed to simulate castings through reinforced elements, an innovative approach to model the reinforced sections as porous media is proposed here. In the previous work, this numerical model is proved able to simulate the free-surface flow of non-Newtonian fluids through the reinforcement networks. In the present study, the applicability of the model on the concrete flow will finally be proved. The large-scale form-filling experiments with SCC will be conducted and the experiments will be simulated using the proposed numerical model. The numerical model will then be validated through the comparison of the experimental results and the results of the numerical simulations.
The one-phase methods described in Chapter 2 were shown to be able to predict casting to some extent, but could not depict segregation, sedimentation and blockage occurring during flow. On the other hand, the distinct element methods described in Chapter 3 did not take into account the presence of two phases in the system and describes concrete as distinct elements interacting through more or less complex laws. A reliable numerical model of a multiphase material behaviour shall take into account both phases (solid and liquid). From the numerical point of view, concrete flow shall be seen therefore as the free surface flow of a highly-concentrated suspension of rigid grains.
The study introduces the porous medium model for the simulation of concrete flow through highly-reinforced sections. It shows that numerical simulations can predict concrete behavior during casting and help to avoid expensive mistakes.
The paper addresses numerical modelling of fresh self-compacting concrete. In the previous studies, a numerical tool for casting prediction is built based on the assumption that fresh concrete behaves as a yield-stress fluid and treating zones with rebars as porous media. The present contribution discusses the determination of material parameters, which are required as an input for numerical simulations of casting processes.
In the last decades, numerical simulations of fresh concrete flow have gained importance in concrete industry. They showed a potential to become a tool for prediction of concrete casting and to help engineers to avoid expensive mistakes on site. A promising field for application of numerical modelling is casting of Self-Compacting Concrete (SCC), since the main area of application of SCC are complex and highly-reinforced building elements. Simulations of fresh concrete flow involve complex mathematical models and time-consuming computations. In case of casting simulations, the simulation time is additionally significantly increased because each reinforcement bar occurring in succession has to be considered one by one. This is particularly problematic in case of SCC casting, since this type of concrete is typically used for heavily-reinforced structural members. With the aim to decrease simulation time and to come closer to a practical simulation tool, we proposed an innovative modelling approach that models a zone with arrays of the reinforcement bars as a porous medium (PM). By defining characteristic parameters of the PM, its influence on the flow can be defined. This approach simplifies the geometry to be modelled and significantly decreases the computational time. The present contribution provides a brief description the proposed numerical model and of the conducted validation studies. The applicability of the model on fresh concrete is verified through the comparison between experimental measurements and numerical simulations.