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"
}