Application of spherical subset simulation method and auxiliary domain method on a benchmark reliability study
By Lambros S. Katafygiotis, Sai Hung Cheung. 2007
79 citations recorded by the source corpus.
Subfields: Safety, Risk, Reliability and Quality, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/37da78926f34e63d1aa81bfc41dbefa8832d7934
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Safety, Risk, Reliability and Quality
- Iason Papaioannou
- Gerhart I. Schuëller
- Daniel Straub
- Marcos A. Valdebenito
- Helmut J. Pradlwarter
- Konstantin Zuev
- Wolfgang Betz
- Kilian Zwirglmaier
In Statistics and Probability
- Iason Papaioannou
- Daniel Straub
- Gerhart I. Schuëller
- Marcos A. Valdebenito
- Helmut J. Pradlwarter
- Wolfgang Betz
- Kilian Zwirglmaier
- Konstantin Zuev
Citations in the corpus
- Geometric insight into the challenges of solving high-dimensional reliability problems (2008, methodology): “Spherical subset simulation method (S3) A new MCMC algorithm was proposed by Katafygiotis and Cheung [5].”
- Reliability-based optimization of stochastic systems using line search (2009, background): “On the other hand, several tools for assessing structural reliability have lately experienced a substantial development providing solution to a number of complex problems [5,7,19–21,23,31,38].”
- MCMC algorithms for Subset Simulation (2015, methodology): “…of random variables, a number of advanced simulation methods have been developed, including Subset Simulation (Au & Beck 2001), Spherical Subset Simulation (Katafygiotis & Cheung 2007), Line Sampling (Hohenbichler & Rackwitz 1988, Koutsourelakis et al. 2004) and Asymptotic Sampling (Bucher 2009).”
- Uncertainty analysis of complex structural systems (2009, methodology): “The auxiliary domain method, proposed in [46, 47], can be used for cases where the failure domain can be covered approximately by an associated linear system.”