Comparison of Numerical Methods for Uncertainty Quantification
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21110%2F13%3A00208309" target="_blank" >RIV/68407700:21110/13:00208309 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Comparison of Numerical Methods for Uncertainty Quantification
Original language description
An extensive development of efficient methods for stochastic modelling enabled uncertainty propagation through complex models. In this contribution, we present a review and comparison of several approaches such as stochastic Galerkin method, stochastic collocation method or polynomial regression based on Latin Hypercube Sampling. The advantages and disadvantages of these methods are demonstrated within the comparison with the traditional Monte Carlo method on a simple illustrative example of a frame structure.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JM - Structural engineering
OECD FORD branch
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Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Engineering Mechanics 2013
ISBN
978-80-87012-47-5
ISSN
1805-8256
e-ISSN
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Number of pages
12
Pages from-to
235-246
Publisher name
Ústav termomechaniky AV ČR
Place of publication
Praha
Event location
Svratka
Event date
May 13, 2013
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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