Detail publikace

Surrogate models for the damage responses of a reinforced concrete beam under explosive charges utilizing coupled finite element-stochastic methods

NARIMAN, N. HUŠEK, M. RAMADAN, A.

Originální název

Surrogate models for the damage responses of a reinforced concrete beam under explosive charges utilizing coupled finite element-stochastic methods

Typ

článek v časopise ve Web of Science, Jimp

Jazyk

angličtina

Originální abstrakt

Numerical evaluation of experimental test in which reinforced concrete beam is subjected to TNT explosions is the subject of the paper. Prediction of damage responses is being conducted by utilizing both numerical analyses and stochastic experimental methods where ABAQUS and LS-DYNA are being used. Material parameters of concrete and reinforcement, together with the mass of the TNT charge are considered in sensitivity study which is further used for metamodel creation. The Box-Behnken experimental method is used to construct both the samples and the surrogate models for the prediction process by employing the least-squares method and MATLAB codes. The results demonstrate the high capability of the coupled finite element-stochastic methods to predict damages of the reinforced concrete beam. Results of the numerical simulations were verified by reference cases. Introduced coupled methods can be, therefore, considered a tool for not only structural response prediction but optimization as well.

Klíčová slova

TNT; Box-Behnken method; Coefficient of regression; ABAQUS; LS-DYNA

Autoři

NARIMAN, N.; HUŠEK, M.; RAMADAN, A.

Vydáno

13. 1. 2022

Nakladatel

SPRINGER

Místo

NEW YORK

ISSN

0177-0667

Periodikum

ENGINEERING WITH COMPUTERS

Ročník

1

Číslo

1

Stát

Spolková republika Německo

Strany od

1

Strany do

21

Strany počet

21

URL

BibTex

@article{BUT177118,
  author="Nazim Abdul {Nariman} and Martin {Hušek} and Ayad Mohammad {Ramadan}",
  title="Surrogate models for the damage responses of a reinforced concrete beam under explosive charges utilizing coupled finite element-stochastic methods",
  journal="ENGINEERING WITH COMPUTERS",
  year="2022",
  volume="1",
  number="1",
  pages="1--21",
  doi="10.1007/s00366-021-01550-0",
  issn="0177-0667",
  url="https://link.springer.com/article/10.1007/s00366-021-01550-0"
}