Efficient Bayesian parameter identification

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21110%2F14%3A00218681" target="_blank" >RIV/68407700:21110/14:00218681 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Efficient Bayesian parameter identification
Original language description
Many important parameters influencing structural behaviour involve unacceptable uncertainties. An extensive development of efficient methods for stochastic modelling enabled reducing these uncertainties in input parameters. According to Bayes? rule, we obtain a more accurate description of the uncertain parameter involving an expert knowledge as well as experimental data. The aim of this contribution is to demonstrate two techniques for making the identification process more efficient and less time consuming. The first technique consists in replacement of the full numerical model by its polynomial approximation in order to reduce the computational effort. The particular approximation is based on polynomial chaos expansion constructed by linear regression based on Latin Hypercube Sampling. The obtained surrogate model is then used within Markov chain Monte Carlo sampling so as to update the uncertainty in the model inputs based on the experimental data. The second technique concerns a g
Czech name
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Czech description
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Project
<a href="/en/project/GAP105%2F12%2F1146" target="_blank" >GAP105/12/1146: Methods for paralelization of engineering problems using low-cost technologies</a><br>
Continuities
S - Specificky vyzkum na vysokych skolach

Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
20 th International Conference Engineering Mechanics 2014
ISBN
978-80-214-4871-1
ISSN
1805-8248
e-ISSN
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Number of pages
4
Pages from-to
264-267
Publisher name
Brno University of Technology
Place of publication
Brno
Event location
Svratka
Event date
May 12, 2014
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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