Multifidelity adaptive kriging metamodel based on discretization error bounds-Reference-Cited by-同舟云学术

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Multifidelity adaptive kriging metamodel based on discretization error bounds

Published:2020-07-28 Issue: Volume: Page:
ISSN:0029-5981
Container-title:International Journal for Numerical Methods in Engineering
language:en
Short-container-title:Int J Numer Methods Eng

Author:

Mell L.¹,Rey V.¹^ORCID,Schoefs F.¹^ORCID

Affiliation:

1. GeM‐Institut de Recherche en Génie Civil et Mécanique‐UMR 6183‐CNRS‐ Université de NantesEcole Centrale de Nantes Nantes‐ 2 Nantes France

Funder

Conseil Régional des Pays de la Loire

Publisher

Wiley

Subject

Applied Mathematics,General Engineering,Numerical Analysis

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/nme.6451

Reference54 articles.

1. Monte Carlo and quasi-Monte Carlo methods

2. Multilevel Monte Carlo Path Simulation

3. Multilevel Monte Carlo methods

4. Galerkin methods for linear and nonlinear elliptic stochastic partial differential equations

5. An extended stochastic finite element method for solving stochastic partial differential equations on random domains

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1. Surrogate modeling by multifidelity cokriging for the ductile failure of random microstructures;Computational Mechanics;2024-01-09

2. Exploring Multi-Fidelity Data in Materials Science: Challenges, Applications, and Optimized Learning Strategies;Applied Sciences;2023-12-12

3. Support vectors machines for the estimation of probability of failure: Multifidelity classifiers built from a posteriori discretization error estimators;Structural Safety;2023-05

4. Two multifidelity kriging-based strategies to control discretization error in reliability analysis exploiting a priori and a posteriori error estimators;Computers & Structures;2023-01

5. Uncertainty Propagation of Structural Computation for Fatigue Assessment;Journal of Marine Science and Application;2022-12

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