Effect of response surface parameter variation on structural reliability estimates
By X. Guan, R. Melchers. 2001
244 citations recorded by the source corpus.
Subfields: Civil and Structural Engineering, Mechanics of Materials, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/3851751f42b78433adf577cf09faa4a91f34232c
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
- C. Manohar
- Sayan Gupta
- Rajib Chowdhury
- Marcin Marek Kaminski
- B. Rao
- Sharif Rahman
- Marc Duflot
- Glaucio H. Paulino
In Mechanics of Materials
- C. Manohar
- Sayan Gupta
- Rajib Chowdhury
- Marcin Marek Kaminski
- B. Rao
- Marc Duflot
- Sharif Rahman
- Glaucio H. Paulino
In Statistics and Probability
- C. Manohar
- Sayan Gupta
- B. Rao
- Marcin Marek Kaminski
- Rajib Chowdhury
- Sharif Rahman
- Henri P. Gavin
- S. Yau
Citations in the corpus
- An improved response surface method for the determination of failure probability and importance measures (2004, methodology): “Estimates of failure probability, obtained by this procedure, have been shown to be sensitive to the parameter h and may not always give acceptable approximation to the true failure probability [ 10 ].”
- Sensitivity and randomness in homogenization of periodic fiber-reinforced composites via the response function method (2009, methodology): “…be underlined that the idea behind the response function approach is similar to the response surface method (RSM), known from reliability analysis (Xiu-Li and Melchers, 2002), where this function was assumed to be a quadratic polynomial, with or without the mixed terms expressing…”
- Probabilistic Analysis Using High Dimensional Model Representation and Fast Fourier Transform (2008, methodology): “A three-span, five-story frame structure, studied by Rahman and Wei [ 34 ], Liu and Der Kiureghian [ 37 ], Guan and Melchers [ 38 ] and Wei and Rahman [ 39 ], is subjected to horizontal loads, as shown in Figure 9 .”