Multiple Surrogates for the Shape Optimization of Bluff Body-Facilitated Mixing

By Y. Mack, Tushar Goel, Wei Shyy, Raphael T. Haftka, Néstor V. Queipo. 2005

49 citations recorded by the source corpus.

Subfields: Biomedical Engineering, Computational Theory and Mathematics, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/19a9ced2ea4b66a72e9528a23a62b2c615357441

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Biomedical Engineering

1. Vladimir Balabanov
2. Timothy W. Simpson
3. Wei Shyy
4. Raphael T. Haftka
5. Felipe Antonio Chegury Viana
6. V. Toropov

In Computational Theory and Mathematics

1. Felipe Antonio Chegury Viana
2. Raphael T. Haftka
3. Vladimir Balabanov
4. V. Toropov
5. Wei Shyy
6. Tushar Goel
7. Timothy W. Simpson
8. Néstor V. Queipo

In Statistics and Probability

1. Felipe Antonio Chegury Viana
2. Raphael T. Haftka
3. Vladimir Balabanov
4. V. Toropov
5. Timothy W. Simpson
6. Tushar Goel
7. Wei Shyy
8. Victor Picheny

Citations in the corpus

• Design and Analysis of Computer Experiments in Multidisciplinary Design Optimization: A Review of How Far We Have Come - Or Not (2008, methodology): “For instance, Mack et al. 134 employed polynomial response surfaces and radial basis neural networks to perform global sensitivity analysis and shape optimization of bluff body devices to facilitate mixing while minimizing the total pressure loss.”
• Surrogate-based Analysis and Optimization (2005, background): “The surrogates also allow for the optimization of problems with non-smooth or noisy responses, and can provide insight into the nature of the design space [10,11,76,79].”
• Metamodeling in Multidisciplinary Design Optimization: How Far Have We Really Come? (2014, methodology): “[165] employed polynomial response surfaces and radial basis neural networks to perform global sensitivity analysis and shape optimization of bluff body devices to facilitate mixing while minimizing the total pressure loss.”