Limit states of structures and global sensitivity analysis based on Cramér-von Mises distance
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26110%2F20%3APU139514" target="_blank" >RIV/00216305:26110/20:PU139514 - isvavai.cz</a>
Výsledek na webu
<a href="https://www.naun.org/main/NAUN/mechanics/2020/a282003-caw.pdf" target="_blank" >https://www.naun.org/main/NAUN/mechanics/2020/a282003-caw.pdf</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.46300/9104.2020.14.14" target="_blank" >10.46300/9104.2020.14.14</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Limit states of structures and global sensitivity analysis based on Cramér-von Mises distance
Popis výsledku v původním jazyce
This article presents a stochastic computational model for the analysis of the reliability of a drawn steel bar. The whole distribution of the limit state function is studied using global sensitivity analysis based on Cramér-von Mises distance. The algorithm for estimating the sensitivity indices is based on one loop of the Latin Hypercube Sampling method in combination with numerical integration. The algorithm is effective due to the approximation of resistance using a three-parameter lognormal distribution. Goodness-of-fit tests and other comparative studies demonstrate the significant accuracy and suitability of the three-parameter lognormal distribution, which provides better results and faster response than sampling-based methods. Global sensitivity analysis is evaluated for two load cases with proven dominant effect of the long-term variation load action, which is introduced using Gumbel probability density function. The Cramér-von Mises indices are discussed in the context of other types of probability oriented sensitivity indices whose performance has been studied earlier.
Název v anglickém jazyce
Limit states of structures and global sensitivity analysis based on Cramér-von Mises distance
Popis výsledku anglicky
This article presents a stochastic computational model for the analysis of the reliability of a drawn steel bar. The whole distribution of the limit state function is studied using global sensitivity analysis based on Cramér-von Mises distance. The algorithm for estimating the sensitivity indices is based on one loop of the Latin Hypercube Sampling method in combination with numerical integration. The algorithm is effective due to the approximation of resistance using a three-parameter lognormal distribution. Goodness-of-fit tests and other comparative studies demonstrate the significant accuracy and suitability of the three-parameter lognormal distribution, which provides better results and faster response than sampling-based methods. Global sensitivity analysis is evaluated for two load cases with proven dominant effect of the long-term variation load action, which is introduced using Gumbel probability density function. The Cramér-von Mises indices are discussed in the context of other types of probability oriented sensitivity indices whose performance has been studied earlier.
Klasifikace
Druh
J<sub>SC</sub> - Článek v periodiku v databázi SCOPUS
CEP obor
—
OECD FORD obor
20101 - Civil engineering
Návaznosti výsledku
Projekt
<a href="/cs/project/GA20-01734S" target="_blank" >GA20-01734S: Pravděpodobnostně orientovaná globální citlivostní měření konstrukční spolehlivosti</a><br>
Návaznosti
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Ostatní
Rok uplatnění
2020
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
International Journal of Mechanics
ISSN
1998-4448
e-ISSN
—
Svazek periodika
14
Číslo periodika v rámci svazku
1
Stát vydavatele periodika
US - Spojené státy americké
Počet stran výsledku
12
Strana od-do
107-118
Kód UT WoS článku
—
EID výsledku v databázi Scopus
2-s2.0-85090753290