Publication detail

Experimental/computational-based determination of material parameters for nonlinear simulation of UHPFRC.

LEHKÝ, D. LIPOWCZAN, M. NOVÁK, D. PUKL, R. HAFEZOLGHORANI, M.

Original Title

Experimental/computational-based determination of material parameters for nonlinear simulation of UHPFRC.

Type

conference paper

Language

English

Original Abstract

The paper describes development of a soft-computing-based identification software FRCID-4PB for material parameter determination of ultra-high-performance fiber-reinforced concrete composite material. A new tensile softening model for studied composite material has been proposed and tested with the help of sensitivity analysis. The procedure utilizes stratified statistical simulation method for the preparation of a training set for the artificial neural network. Trained network is then implemented into the software allowing routine and user-friendly identification of material parameters from the test results. The main aspects of the software implementation, its testing and application is described and discussed in the paper.

Keywords

Ultra-high-performance fiber-reinforced concrete (UHPFRC), soft computing, parameter identification, computational modelling, artificial neural network.

Authors

LEHKÝ, D.; LIPOWCZAN, M.; NOVÁK, D.; PUKL, R.; HAFEZOLGHORANI, M.

Released

5. 11. 2020

Location

Spain, Valencia

ISBN

978-3-030-58481-8

Book

Fibre Reinforced Concrete: Improvements and Innovations (BEFIB 2020)

ISBN

2211-0844

Periodical

RILEM Bookseries

State

Federal Republic of Germany

Pages from

527

Pages to

535

Pages count

9

BibTex

@inproceedings{BUT168345,
  author="David {Lehký} and Martin {Lipowczan} and Drahomír {Novák} and Radomír {Pukl} and Milad {Hafezolghorani}",
  title="Experimental/computational-based determination of material parameters for nonlinear simulation of UHPFRC.",
  booktitle="Fibre Reinforced Concrete: Improvements and Innovations (BEFIB 2020)",
  year="2020",
  journal="RILEM Bookseries",
  pages="527--535",
  address="Spain, Valencia",
  doi="10.1007/978-3-030-58482-5\{_}48",
  isbn="978-3-030-58481-8",
  issn="2211-0844"
}