Assessment of the efficiency of Kriging surrogate models for structural reliability analysis

By B. Gaspar, Â. Teixeira, Carlos Soares. 2014

219 citations recorded by the source corpus.

Subfields: Computational Theory and Mathematics, Environmental Engineering, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/9824a69615e4629ec936d2ba343b0e8532967a1e

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computational Theory and Mathematics

1. R. Matousek
2. Jakub Kudela

In Environmental Engineering

1. R. Matousek
2. Jakub Kudela

In Statistics and Probability

1. R. Matousek
2. Jakub Kudela

Citations in the corpus

• Recent advances and applications of surrogate models for finite element method computations: a review (2022, methodology): “With the exception of methods for fast Table 5 Considered literature on surrogate modelling, and properties of the models References Surrogates Theoretical advancement Application RSM RBF Kriging ANN SVR Other Gogu and Passieux (2013) × Reduced basis model Structural problems Zhang and Au (2014) × N”