Surrogate models for the damage responses of a reinforced concrete beam under explosive charges utilizing coupled finite element-stochastic methods
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26110%2F22%3APU143952" target="_blank" >RIV/00216305:26110/22:PU143952 - isvavai.cz</a>
Výsledek na webu
<a href="https://link.springer.com/article/10.1007/s00366-021-01550-0" target="_blank" >https://link.springer.com/article/10.1007/s00366-021-01550-0</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/s00366-021-01550-0" target="_blank" >10.1007/s00366-021-01550-0</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Surrogate models for the damage responses of a reinforced concrete beam under explosive charges utilizing coupled finite element-stochastic methods
Popis výsledku v původním jazyce
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.
Název v anglickém jazyce
Surrogate models for the damage responses of a reinforced concrete beam under explosive charges utilizing coupled finite element-stochastic methods
Popis výsledku anglicky
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.
Klasifikace
Druh
J<sub>imp</sub> - Článek v periodiku v databázi Web of Science
CEP obor
—
OECD FORD obor
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Návaznosti výsledku
Projekt
<a href="/cs/project/GA20-00761S" target="_blank" >GA20-00761S: Vliv materiálových vlastností korozivzdorných ocelí na spolehlivost mostních konstrukcí</a><br>
Návaznosti
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Ostatní
Rok uplatnění
2022
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
ENGINEERING WITH COMPUTERS
ISSN
0177-0667
e-ISSN
1435-5663
Svazek periodika
1
Číslo periodika v rámci svazku
1
Stát vydavatele periodika
DE - Spolková republika Německo
Počet stran výsledku
21
Strana od-do
1-21
Kód UT WoS článku
000741869300001
EID výsledku v databázi Scopus
2-s2.0-85122787451