Articles citing this article

The Citing articles tool gives a list of articles citing the current article.
The citing articles come from EDP Sciences database, as well as other publishers participating in CrossRef Cited-by Linking Program. You can set up your personal account to receive an email alert each time this article is cited by a new article (see the menu on the right-hand side of the abstract page).

Cited article:

Tackling random fields non-linearities with unsupervised clustering of polynomial chaos expansion in latent space: application to global sensitivity analysis of river flooding

Siham El Garroussi, Sophie Ricci, Matthias De Lozzo, Nicole Goutal and Didier Lucor
Stochastic Environmental Research and Risk Assessment 36 (3) 693 (2022)
https://doi.org/10.1007/s00477-021-02060-7

High-Dimensional Uncertainty Quantification in a Hybrid Data + Model-Based Submodeling Method for Refined Response Estimation at Critical Locations

Bhavana Valeti and Shamim N. Pakzad
ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering 7 (3) (2021)
https://doi.org/10.1061/AJRUA6.0001142

To Sobol or not to Sobol? The effects of sampling schemes in systems biology applications

Marissa Renardy, Louis R. Joslyn, Jess A. Millar and Denise E. Kirschner
Mathematical Biosciences 337 108593 (2021)
https://doi.org/10.1016/j.mbs.2021.108593

Stochastic finite elements analysis of large concrete structures’ serviceability under thermo-hydro-mechanical loads – Case of nuclear containment buildings

D.E.-M. Bouhjiti, J. Baroth, F. Dufour, S. Michel-Ponnelle and B. Masson
Nuclear Engineering and Design 370 110800 (2020)
https://doi.org/10.1016/j.nucengdes.2020.110800

Probabilistic analysis of concrete cracking using stochastic finite element methods: application to nuclear containment buildings at early age

D. E.-M. Bouhjiti, J. Baroth, F. Dufour, M. Briffaut and B. Masson
Materials and Structures 53 (4) (2020)
https://doi.org/10.1617/s11527-020-01519-3

Error Estimation of Polynomial Chaos Approximations in Transient Structural Dynamics

T. D. Dao, Q. Serra, S. Berger and E. Florentin
International Journal of Computational Methods 17 (10) 2050003 (2020)
https://doi.org/10.1142/S0219876220500036

Uncertainty Modeling for Engineering Applications

E. Chiaramello, S. Fiocchi, M. Parazzini, P. Ravazzani and J. Wiart
PoliTO Springer Series, Uncertainty Modeling for Engineering Applications 89 (2019)
https://doi.org/10.1007/978-3-030-04870-9_6

Least squares polynomial chaos expansion: A review of sampling strategies

Mohammad Hadigol and Alireza Doostan
Computer Methods in Applied Mechanics and Engineering 332 382 (2018)
https://doi.org/10.1016/j.cma.2017.12.019

Sensitivity analysis based on non-intrusive regression-based polynomial chaos expansion for surgical mesh modelling

Katarzyna Szepietowska, Benoit Magnain, Izabela Lubowiecka and Eric Florentin
Structural and Multidisciplinary Optimization 57 (3) 1391 (2018)
https://doi.org/10.1007/s00158-017-1799-9

Assessment of Fetal Exposure to 4G LTE Tablet in Realistic Scenarios: Effect of Position, Gestational Age, and Frequency

Emma Chiaramello, Marta Parazzini, Serena Fiocchi, Paolo Ravazzani and Joe Wiart
IEEE Journal of Electromagnetics, RF and Microwaves in Medicine and Biology 1 (1) 26 (2017)
https://doi.org/10.1109/JERM.2017.2727279

Efficient computational techniques for mistuning analysis of bladed discs: A review

Jie Yuan, Fabrizio Scarpa, Giuliano Allegri, et al.
Mechanical Systems and Signal Processing 87 71 (2017)
https://doi.org/10.1016/j.ymssp.2016.09.041

An efficient estimation of probability of first-passage in a linear system

Mahdi Norouzi and Efstratios Nikolaidis
Structural and Multidisciplinary Optimization 55 (5) 1733 (2017)
https://doi.org/10.1007/s00158-016-1606-z

Performance of global metamodeling techniques in solution of structural reliability problems

Henrique M. Kroetz, Rodolfo K. Tessari and André T. Beck
Advances in Engineering Software 114 394 (2017)
https://doi.org/10.1016/j.advengsoft.2017.08.001

Exposure assessment of one-year-old child to 3G tablet in uplink mode and to 3G femtocell in downlink mode using polynomial chaos decomposition

I Liorni, M Parazzini, N Varsier, et al.
Physics in Medicine and Biology 61 (8) 3237 (2016)
https://doi.org/10.1088/0031-9155/61/8/3237

Uncertainty Quantification and Sensitivity Analysis in Electrical Machines With Stochastically Varying Machine Parameters

Peter Offermann, Hung Mac, Thu Trang Nguyen, et al.
IEEE Transactions on Magnetics 51 (3) 1 (2015)
https://doi.org/10.1109/TMAG.2014.2354511

Personalization of models with many model parameters: an efficient sensitivity analysis approach

W. P. Donders, W. Huberts, F. N. van de Vosse and T. Delhaas
International Journal for Numerical Methods in Biomedical Engineering 31 (10) (2015)
https://doi.org/10.1002/cnm.2727

Updating the long-term creep strains in concrete containment vessels by using Markov chain Monte Carlo simulation and polynomial chaos expansions

Marc Berveiller, Yann Le Pape, Bruno Sudret and Frédéric Perrin
Structure and Infrastructure Engineering 8 (5) 425 (2012)
https://doi.org/10.1080/15732479.2010.539057

RPCM: a strategy to perform reliability analysis using polynomial chaos and resampling

Alban Notin, Nicolas Gayton, Jean Luc Dulong, et al.
European Journal of Computational Mechanics 19 (8) 795 (2010)
https://doi.org/10.3166/ejcm.19.795-830

An adaptive algorithm to build up sparse polynomial chaos expansions for stochastic finite element analysis

Géraud Blatman and Bruno Sudret
Probabilistic Engineering Mechanics 25 (2) 183 (2010)
https://doi.org/10.1016/j.probengmech.2009.10.003

Efficient computation of global sensitivity indices using sparse polynomial chaos expansions

Géraud Blatman and Bruno Sudret
Reliability Engineering & System Safety 95 (11) 1216 (2010)
https://doi.org/10.1016/j.ress.2010.06.015

Recent Developments in Spectral Stochastic Methods for the Numerical Solution of Stochastic Partial Differential Equations

Anthony Nouy
Archives of Computational Methods in Engineering 16 (3) 251 (2009)
https://doi.org/10.1007/s11831-009-9034-5

Sparse polynomial chaos expansions and adaptive stochastic finite elements using a regression approach

Géraud Blatman and Bruno Sudret
Comptes Rendus. Mécanique 336 (6) 518 (2008)
https://doi.org/10.1016/j.crme.2008.02.013