Detail publikačního výsledku

Fiber-reinforced cementitious composite: sensitivity analysis and parameter identification

NOVÁK, D.; LEHKÝ, D.; PUKL, R.

Originální název

Fiber-reinforced cementitious composite: sensitivity analysis and parameter identification

Anglický název

Fiber-reinforced cementitious composite: sensitivity analysis and parameter identification

Druh

Článek recenzovaný mimo WoS a Scopus

Originální abstrakt

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.

Anglický abstrakt

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.

Klíčová slova

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

Klíčová slova v angličtině

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

Autoři

NOVÁK, D.; LEHKÝ, D.; PUKL, R.

Rok RIV

2021

Vydáno

26.02.2020

Nakladatel

VBRI Press

Místo

Ulrika, Sweden

ISSN

0976-3961

Periodikum

Advanced Materials Letters

Svazek

11

Číslo

3

Stát

Švédské království

Strany od

1

Strany do

5

Strany počet

5

URL

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"
}