Reliability-based optimization of stochastic systems using line search
By Hector A. Jensen, Marcos A. Valdebenito, Gerhart I. Schuëller, D. Kusanovic. 2009
105 citations recorded by the source corpus.
Subfields: Civil and Structural Engineering, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/18989a2b382e54e04bbadec4bcf693b35d1900bd
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Civil and Structural Engineering
- Gerhart I. Schuëller
- Costas Papadimitriou
- D. Papadimitriou
- Marcos A. Valdebenito
- George Stefanou
- Geert Lombaert
- Christian Soize
- Iason Papaioannou
In Statistics and Probability
- Costas Papadimitriou
- D. Papadimitriou
- Gerhart I. Schuëller
- Marcos A. Valdebenito
- Iason Papaioannou
- Daniel Straub
- George Stefanou
- Christian Soize
Citations in the corpus
- Aerodynamic shape optimization for minimum robust drag and lift reliability constraint (2016, methodology): “Stochastic approaches for the estimation of the statistical moments are usually based on advanced Monte-Carlo (MC) methods [27,49,19] which are costly due to the very large number of analyses on the sample points required to compute these integrals.”
- A survey on approaches for reliability-based optimization (2010, background): “According to results in the literature (see, e.g. Ching and Hsieh (2007a); Taflanidis and Beck (2008b); Jensen et al (2009)), the number of function evaluations required for solving a RBO problem may vary between three and five orders of magnitude.”