2015
DOI: 10.1016/j.proeng.2015.12.640
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Failure Probability Assessment using co-Kriging Surrogate Models

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Cited by 6 publications
(11 citation statements)
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“…The surrogate model is typically created by evaluating the response of the real model at several points, called design points/sites. Types of metamodels that have been employed in the past with regards to structural reliability analysis include polynomials [6,10,17,18,19], Kriging [20,21,22], and Neural Networks (NNs) [23,24]. Although surrogate models are not as accurate as the real model over the entire domain being investigated, they can act as very effective substitutes for the real model over a small part of the domain.…”
Section: Introductionmentioning
confidence: 99%
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“…The surrogate model is typically created by evaluating the response of the real model at several points, called design points/sites. Types of metamodels that have been employed in the past with regards to structural reliability analysis include polynomials [6,10,17,18,19], Kriging [20,21,22], and Neural Networks (NNs) [23,24]. Although surrogate models are not as accurate as the real model over the entire domain being investigated, they can act as very effective substitutes for the real model over a small part of the domain.…”
Section: Introductionmentioning
confidence: 99%
“…Two recent reviews of metamodelling techniques have been undertaken by Simpson et al [25] and Bhosekar et al [26] . Multi-fidelity models created in the past include those based on polynomials [27,28,6], and those based on Kriging [29,30,20]. Due to its many advantages, multi-fidelity modelling has found extensive use with the FEM, with notable examples being [27,28,20].…”
Section: Introductionmentioning
confidence: 99%
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“…Lefebvre at al. [26] employed a more sophisticated approach involving the use of Co-Kriging to create multi-fidelity models for the reliability analysis of a cracked cylinder. Results showed that Co-Kriging could obtain similar levels of accuracy to regular Kriging, but at reduced computational cost.…”
Section: Introductionmentioning
confidence: 99%
“…A typical Fracture Mechanics problem is subject to uncertainties related to the geometry, material properties, loads or crack location and shape. Consequently, Fracture Mechanics is one the main applications for the reliability analysis [1,2]. To assess the probability of failure in Fracture Mechanics issues [3], two main approaches have been developed, one based on the simulation (Monte Carlo method) and another based on the approximation.…”
Section: Introductionmentioning
confidence: 99%