Exploration of Adaptive Sequential Sampling in the Definition of Surrogate Models for the Rare Event Estimation in Transportation Assets

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26110%2F24%3APU155253" target="_blank" >RIV/00216305:26110/24:PU155253 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-031-60271-9_34" target="_blank" >http://dx.doi.org/10.1007/978-3-031-60271-9_34</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-031-60271-9_34" target="_blank" >10.1007/978-3-031-60271-9_34</a>

Result language
angličtina
Original language name
Exploration of Adaptive Sequential Sampling in the Definition of Surrogate Models for the Rare Event Estimation in Transportation Assets
Original language description
Adaptive sequential sampling provides a good technique to refine and increase the accuracy of surrogate models, used for reliability analysis, based on the selection of possible future candidates in the input domain (i.e., random variables). In the present research, different methodologies for obtaining the training sample for a surrogate model were explored, considering sample size, distribution of the points, and identification of the failure region. The effects on the reliability of the slope stability under vertical loading based on the safety factors from Bishop's simplified method were obtained. The results reinforce the importance of the characteristics of the training sample used for the application of surrogate models to describe limit states and their accuracy when employed for the computation of the reliability index.
Czech name
—
Czech description
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Project
<a href="/en/project/GF22-06684K" target="_blank" >GF22-06684K: Energy dissipation-based approach to stochastic fatigue of concrete considering interacting time and temperature effects</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
20th International Probabilistic Workshop IPW 2024, Lecture Notes in Civil Engineering 494
ISBN
978-3-031-60271-9
ISSN
—
e-ISSN
—
Number of pages
11
Pages from-to
366-376
Publisher name
SPRINGER INTERNATIONAL PUBLISHING AG
Place of publication
CHAM
Event location
Guimarães
Event date
May 8, 2024
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
001323733800036

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