Recent Advances in Polynomial Chaos Expansion: Theory, Applications and Software
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26110%2F23%3APU150154" target="_blank" >RIV/00216305:26110/23:PU150154 - isvavai.cz</a>
Result on the web
<a href="http://tces.vsb.cz/Home/" target="_blank" >http://tces.vsb.cz/Home/</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.35181/tces-2023-0015" target="_blank" >10.35181/tces-2023-0015</a>
Alternative languages
Result language
angličtina
Original language name
Recent Advances in Polynomial Chaos Expansion: Theory, Applications and Software
Original language description
The paper is focused on recent advances in uncertainty quantification using polynomial chaos expansion (PCE). PCE is a well-known technique for approximation of costly mathematical models with random inputs – surrogate model. Although PCE is a widely used technique and it has several advantages over various surrogate models, it has still several limitations and research gaps. This paper reviews some of the recent theoretical developments in PCE. Specifically a new active learning method optimizing the experimental design and an extension of analytical statistical analysis using PCE will be reviewed. These two topics represent crucial tools for efficient applications: active learning leads generally to a significantly more efficient construction of PCE and improved statistical analysis allows for analytical estimation of higher statistical moments directly from PCE coefficients. Higher statistical moments can be further used for the identification of probability distribution and estimation of design quantiles, which is a crucial task for the probabilistic analysis of structures. Selected applications of the theoretical methods are briefly presented in a context of civil engineering as well as some preliminary results of further research. A part of the paper also presents UQPy package containing state-of-the-art implementation of the PCE theory
Czech name
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Czech description
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Classification
Type
J<sub>ost</sub> - Miscellaneous article in a specialist periodical
CEP classification
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OECD FORD branch
20102 - Construction engineering, Municipal and structural engineering
Result continuities
Project
<a href="/en/project/GA22-00774S" target="_blank" >GA22-00774S: Metamodel-assisted probabilistic assessment in bridge structural engineering (MAPAB)</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Transactions of the VŠB – Technical University of Ostrava, Civil Engineering Series
ISSN
1804-4824
e-ISSN
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Volume of the periodical
23
Issue of the periodical within the volume
2
Country of publishing house
CZ - CZECH REPUBLIC
Number of pages
7
Pages from-to
47-53
UT code for WoS article
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EID of the result in the Scopus database
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