Detail publikačního výsledku

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

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

Originální název

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

Anglický název

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

Druh

Stať ve sborníku v databázi WoS či Scopus

Originální abstrakt

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.

Anglický abstrakt

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.

Klíčová slova

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

Klíčová slova v angličtině

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

Autoři

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

Rok RIV

2021

Vydáno

05.11.2020

Místo

Spain, Valencia

ISBN

978-3-030-58481-8

Kniha

Fibre Reinforced Concrete: Improvements and Innovations (BEFIB 2020)

ISSN

2211-0844

Periodikum

RILEM Bookseries

Stát

Spolková republika Německo

Strany od

527

Strany do

535

Strany počet

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"
}