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Multifidelity adaptive kriging metamodel based on discretization error bounds
Multifidelity adaptive kriging metamodel based on discretization error bounds
- Source :
- International Journal for Numerical Methods in Engineering.
- Publication Year :
- 2020
- Publisher :
- Wiley, 2020.
-
Abstract
- This paper presents an approach to build a multi-fidelity kriging metamodel from finite element computations on different meshes for stuctural reliability assessment. The proposed method takes advantage of the computation of bounds on the dis-cretization error, which enables to guarantee the state (safe or failure) of each computation of the performance function. An algorithm to build the meta-model from the different levels of fidelity and estimate the failure probability is provided. Illustrations are presented on a two dimensional mechanical crack opening problem. Bounds on the failure probability are also post-processed.
- Subjects :
- Numerical Analysis
Computer science
Applied Mathematics
Computation
media_common.quotation_subject
Reliability (computer networking)
General Engineering
Fidelity
010103 numerical & computational mathematics
Kriging metamodel
Discretization error
01 natural sciences
Finite element method
010101 applied mathematics
Polygon mesh
State (computer science)
0101 mathematics
Algorithm
media_common
Subjects
Details
- ISSN :
- 10970207 and 00295981
- Database :
- OpenAIRE
- Journal :
- International Journal for Numerical Methods in Engineering
- Accession number :
- edsair.doi...........3a1865a3f46ff163eedc1d2e28c23e15
- Full Text :
- https://doi.org/10.1002/nme.6451