A Comparison of Sensitivity Analyses of Prestressed Composite Bridge
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26110%2F17%3APU125875" target="_blank" >RIV/00216305:26110/17:PU125875 - isvavai.cz</a>
Result on the web
—
DOI - Digital Object Identifier
—
Alternative languages
Result language
angličtina
Original language name
A Comparison of Sensitivity Analyses of Prestressed Composite Bridge
Original language description
Three sensitivity analysis methods are employed for proper selection of dominant random variables of prestressed composite bridge. The first one uses the non-parametric rank-order statistical correlation between the basic random variables and the structural response variable. The second method is neural network ensemble-based sensitivity analysis and the last one is sensitivity analysis in terms of coefficient of variation. All three methods were utilized and compared for the prestressed concrete bridge made of MPD girders. Such an information was used for proper set up of stochastic model and response surfaces and subsequent determination of selected uncertain design parameters followed by load-bearing capacity and reliability assessment.
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
20101 - Civil engineering
Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
12th International Conference on Structural Safety & Reliability (ICOSSAR 2017)
ISBN
978-3-903024-28-1
ISSN
—
e-ISSN
—
Number of pages
10
Pages from-to
583-592
Publisher name
Neuveden
Place of publication
Neuveden
Event location
Vienna
Event date
Aug 6, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
—