Reliability of Structures in High Dimensions
By P. Koutsourelakis, Helmut J. Pradlwarter, Gerhart I. Schuëller. 2003
89 citations recorded by the source corpus.
Subfields: Civil and Structural Engineering, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/6ec24e7e4da983daecb226c032fd6b054a0ce44b
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
- Iason Papaioannou
- Daniel Straub
- Marco De Angelis
- Michael Beer
- Costas Papadimitriou
- George Stefanou
- Edoardo Patelli
- Sondipon Adhikari
In Statistics and Probability
- Iason Papaioannou
- Daniel Straub
- Marco De Angelis
- Michael Beer
- Costas Papadimitriou
- George Stefanou
- Edoardo Patelli
- Sondipon Adhikari
Citations in the corpus
- The stochastic finite element method: Past, present and future (2009, methodology): “In contrast to IS, where an inappropriate choice of the sampling distribution leads to worse estimates compared to direct MCS, LS performs at least as well as direct MCS even in the worst possible case where the direction a is selected orthogonal to the optimal direction [98].”
- Sequential importance sampling for structural reliability analysis (2016, background): “These include importance sampling (IS) and its adaptive variants [5, 6, 7], line sampling [8, 9] and subset simulation (SuS) [10].”
- Advanced line sampling for efficient robust reliability analysis (2015, methodology): “Advanced Line Sampling145 The computation of failure probabilities can be associated with quite a significant numerical effort.”