Publication result 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.

English Title

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

Type

Paper in proceedings (conference paper)

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.

English 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.

Key words in English

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.

RIV year

2021

Released

05.11.2020

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

Kingdom of the Netherlands

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"
}