TY - JOUR A1 - Vasilic, Ksenija A1 - Schmidt, Wolfram A1 - Kühne, Hans-Carsten A1 - Haamkens, Frank A1 - Mechtcherine, V. A1 - Roussel, N. T1 - Flow of fresh concrete through reinforced elements: Experimental validation of the porous analogy numerical method N2 - Numerical simulations of concrete castings are complex and time consuming. In order to decrease simulation time and to simplify simulation procedure, an innovative modelling approach, which treats reinforced sections in a formwork as porous media, was proposed. In the previous studies, this numerical model was proved suitable to simulate casting of model yield-stress fluids through reinforced elements. This article focuses on the experimental validation of the proposed model at the concrete scale. For this purpose, a large-scale laboratory casting of a highly reinforced beam is performed. The casting process is numerically simulated and the numerical results are compared to the experimental measurements. KW - Porous medium KW - Self-compacting concrete KW - Casting KW - CFD simulation KW - Reinforcement PY - 2016 UR - http://www.sciencedirect.com/science/article/pii/S0008884616301880 U6 - https://doi.org/10.1016/j.cemconres.2016.06.003 SN - 0008-8846 VL - 2016/88 SP - 1 EP - 6 PB - Elsevier Ltd. AN - OPUS4-37441 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - JOUR A1 - Vasilic, Ksenija A1 - Meng, Birgit A1 - Kühne, Hans-Carsten A1 - Roussel, N. T1 - Flow of fresh concrete through steel bars: a porous medium analogy N2 - Although being a very promising area of concrete technology, computational modeling of fresh concrete flow is a comprehensive and time consuming task. The complexity and required computation time are additionally increased when simulating casting of heavily reinforced sections, where each single reinforcement bar has to be modeled. In order to improve the computation speed and to get closer to a practical tool for simulation of casting processes, an innovative approach to model reinforced sections is proposed here. The basic idea of this approach is to treat the reinforcement zone as a porous medium in which a concrete is propagating. In the present paper, the numerical implementation of this concept is described. A methodology allowing for the computation of the equivalent permeability of the steel bars network is suggested. Finally, this numerical technique efficiency is evaluated by a comparison with experimental results of model fluids casting in model formworks. KW - Fresh concrete (A) KW - Rheology (A) KW - Modeling (E) KW - Permeability (C) KW - Yield stress KW - Simulation KW - Flow of mortar KW - Flow of concrete PY - 2011 U6 - https://doi.org/10.1016/j.cemconres.2011.01.013 SN - 0008-8846 SN - 1873-3948 VL - 41 IS - 5 SP - 496 EP - 503 PB - Pergamon Press CY - New York, NY AN - OPUS4-25532 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - JOUR A1 - Roussel, N. A1 - Gram, A. A1 - Cremonesi, M. A1 - Ferrara, L. A1 - Krenzer, K. A1 - Mechtcherine, V. A1 - Shyshko, S. A1 - Skocec, J. A1 - Spangenberg, J. A1 - Svec, O. A1 - Thrane, L. N. A1 - Vasilic, Ksenija T1 - Numerical simulations of concrete flow: A benchmark comparison N2 - First, we define in this paper two benchmark flows readily usable by anyone calibrating a numerical tool for concrete flow prediction. Such benchmark flows shall allow anyone to check the validity of their computational tools no matter the numerical methods and parameters they choose. Second, we compare numerical predictions of the concrete sample final shape for these two benchmark flows obtained by various research teams around the world using various numerical techniques. Our results show that all numerical techniques compared here give very similar results suggesting that numerical simulations of concrete filling ability when neglecting any potential components segregation have reached a technology readiness level bringing them closer to industrial practice. KW - Casting KW - Fresh Concrete KW - Rheology KW - Workability KW - Modeling PY - 2016 UR - http://www.sciencedirect.com/science/article/pii/S0008884615002604 U6 - https://doi.org/10.1016/j.cemconres.2015.09.022 SN - 0008-8846 VL - 2016/79 SP - 265 EP - 271 PB - Elsevier Ltd. AN - OPUS4-37440 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER -