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NARIMAN, N. HUŠEK, M. RAMADAN, A.
Original Title
Surrogate models for the damage responses of a reinforced concrete beam under explosive charges utilizing coupled finite element-stochastic methods
Type
journal article in Web of Science
Language
English
Original Abstract
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.
Keywords
TNT; Box-Behnken method; Coefficient of regression; ABAQUS; LS-DYNA
Authors
NARIMAN, N.; HUŠEK, M.; RAMADAN, A.
Released
13. 1. 2022
Publisher
SPRINGER
Location
NEW YORK
ISBN
0177-0667
Periodical
ENGINEERING WITH COMPUTERS
Year of study
1
Number
State
Federal Republic of Germany
Pages from
Pages to
21
Pages count
URL
https://link.springer.com/article/10.1007/s00366-021-01550-0
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" }