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Lecture

WEB Numerical analysis of a fibre reinforced concrete mixture

Tuesday (22.09.2020)
17:05 - 17:20 M: Modelling and Simulation 1
Part of:


This work reports about a novel approach for an automatic adaptation of concrete formulations based on genetic algorithms (GA) to optimize a wide range of different fit-functions. In order to achieve the that, a scientific method was developed which provides a numerical description of a fibre reinforced concrete (FRC) mixture regarding to the processing and the concrete properties. First of all, the fibre reinforced concrete mixture with seven fixed components was characterized by varying amounts of the components. For that purpose, ten concrete mixtures were mixed and tested. This testing procedure comprised flowability, bending tensile and compressive strength. The approximation and analysis of the determined data was carried out by GAs. The target was to obtain a closed mathematical expression which best describes the given seven-point cloud of FRC by applying a Gene Expression Programming with Free Coefficients (GEP-FC) strategy. This seven-parametric FRC-mixtures model generated according this method correlated well with the measured data. According to these findings, the developed method can be used for concrete mixtures finding closed mathematical expressions, which are based on measured data.

Speaker:
Henrik Funke
Chemnitz University of Technology
Additional Authors:
  • Dr. Lars Ulke-Winter
    BTU Cottbus
  • Prof. Dr. Sandra Gelbrich
    Technische Universität Chemnitz
  • Prof. Dr. Lothar Kroll
    Technische Universität Chemnitz