Publication result detail

Fiber-reinforced cementitious composite: sensitivity analysis and parameter identification

NOVÁK, D.; LEHKÝ, D.; PUKL, R.

Original Title

Fiber-reinforced cementitious composite: sensitivity analysis and parameter identification

English Title

Fiber-reinforced cementitious composite: sensitivity analysis and parameter identification

Type

Peer-reviewed article not indexed in WoS or Scopus

Original Abstract

The paper describes the development of computational and material models utilized for efficient material parameter determination with regards to a studied composite. This determination is performed with the help of experimental data from four-point bending tests. The data is used in inverse analysis based on artificial neural networks. Sensitivity analysis plays an important role in the process.

English abstract

The paper describes the development of computational and material models utilized for efficient material parameter determination with regards to a studied composite. This determination is performed with the help of experimental data from four-point bending tests. The data is used in inverse analysis based on artificial neural networks. Sensitivity analysis plays an important role in the process.

Keywords

cementitious composites, identification, four-point bending test, sensitivity analysis

Key words in English

cementitious composites, identification, four-point bending test, sensitivity analysis

Authors

NOVÁK, D.; LEHKÝ, D.; PUKL, R.

RIV year

2021

Released

26.02.2020

Publisher

VBRI Press

Location

Ulrika, Sweden

ISBN

0976-3961

Periodical

Advanced Materials Letters

Volume

11

Number

3

State

Kingdom of Sweden

Pages from

1

Pages to

5

Pages count

5

URL

https://www.vbripress.com/aml/pdf/1493

BibTex

@article{BUT167248,
  author="Drahomír {Novák} and David {Lehký} and Radomír {Pukl}",
  title="Fiber-reinforced cementitious composite: sensitivity analysis and parameter identification",
  journal="Advanced Materials Letters",
  year="2020",
  volume="11",
  number="3",
  pages="1--5",
  doi="10.5185/amlett.2020.031488",
  issn="0976-3961",
  url="https://www.vbripress.com/aml/pdf/1493"
}