Identification of marginal and joint CDFs using Bayesian method for RBDO
By Yoojeong Noh, Kyung K. Choi, Ikjin Lee. 2009
95 citations recorded by the source corpus.
Subfields: Civil and Structural Engineering, Mechanics of Materials, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/15eb18cdd271e94e8c5dba1d560a0e9b961dd211
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In Civil and Structural Engineering
In Mechanics of Materials
In Statistics and Probability
Citations in the corpus
- System reliability-based design optimization using the MPP-based dimension reduction method (2010, unknown): “It is known that σ ′f , b, and ε′f, c are highly negatively correlated (Noh et al. 2009a; Socie 2003; Annis 2004).”
- Structural reliability analysis using a copula-function-based evidence theory model (2014, methodology): “[46] made a comparison between two selection approaches of copula functions, namely Goodness of Fit (GOF) test and Bayesian method, and furthermore used the copula function to handle RBDO problem [47].”
- Reliability-based design optimization with confidence level under input model uncertainty due to limited test data (2011, methodology): “In the proposed method, the input statistical model is estimated using the Bayesian method, which correctly identified the distribution types through statistical studies (Noh et al. 2008, 2010).”
- Second‐order reliability method‐based inverse reliability analysis using Hessian update for accurate and efficient reliability‐based design optimization (2014, methodology): “Hence, FORM linearizes the performance function at MPP in the standard normal U-space obtained through the Rosenblatt transformation [32] as”