Detail publikace

Material parameters for computer analysis of fibre reinforced concrete structures.

Originální název

Material parameters for computer analysis of fibre reinforced concrete structures.

Anglický název

Material parameters for computer analysis of fibre reinforced concrete structures.

Jazyk

en

Originální abstrakt

Methods and software tools for material parameter identification of high-performance cementitious composites are presented. The aim is to provide techniques for the purpose of advanced assessment of their fracture–mechanical properties and subsequent numerical simulations of components/structures made of these materials. The paper describes development of computational and material models utilized for efficient material parameter determination of studied composite. Such a determination is performed with the help of experimental data from four-point bending test used in inverse analysis based on artificial neural networks.

Anglický abstrakt

Methods and software tools for material parameter identification of high-performance cementitious composites are presented. The aim is to provide techniques for the purpose of advanced assessment of their fracture–mechanical properties and subsequent numerical simulations of components/structures made of these materials. The paper describes development of computational and material models utilized for efficient material parameter determination of studied composite. Such a determination is performed with the help of experimental data from four-point bending test used in inverse analysis based on artificial neural networks.

BibTex


@inproceedings{BUT162386,
  author="Radomír {Pukl} and David {Lehký} and Martin {Lipowczan} and Drahomír {Novák}",
  title="Material parameters for computer analysis of fibre reinforced concrete structures.",
  annote="Methods and software tools for material parameter identification of high-performance cementitious composites are presented. The aim is to provide techniques for the purpose of advanced assessment of their fracture–mechanical properties and subsequent numerical simulations of components/structures made of these materials. The paper describes development of computational and material models utilized for efficient material parameter determination of studied composite. Such a determination is performed with the help of experimental data from four-point bending test used in inverse analysis based on artificial neural networks.",
  booktitle="IOP Conference Series: Materials Science and Engineering",
  chapter="162386",
  doi="10.1088/1757-899X/596/1/012008",
  howpublished="print",
  number="012008",
  year="2019",
  month="january",
  pages="596--596",
  type="conference paper"
}