Reliability analysis of structures by iterative improved response surface method

By Somdatta Goswami, Shyamal Ghosh, Subrata Chakraborty. 2016

187 citations recorded by the source corpus.

Subfields: Civil and Structural Engineering, Management Science and Operations Research, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/46968d320efd2cb4b4a5332456bdaee3395c1b70

How researchers see this paper

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In Statistics and Probability

1. Hua Su
2. Zhao Jing
3. Xu Li
4. Chun-lin Gong
5. Wenkun Gao
6. Liangxian Gu

Citations in the corpus

• Support vector machine in structural reliability analysis: A review (2023, unknown): “Different metamodeling approaches e.g., response surface method (RSM) [5,6], radial basis functions networks (RBFN) [7], polynomial chaos expansion (PCE) [8,9], multivariate adaptive regression splines (MARS) [10], Kriging method [11,12], artificial neural networks (ANN) [13,14], etc., were…”
• A sequential surrogate method for reliability analysis based on radial basis function (2017, methodology): “Therefore, the iterative response surface reliability analysis methods are proposed [20-30], which increases the samples in the important region near the MPP, and gradually improves the accuracy of the approximation model.”