Parametric solutions involving geometry: A step towards efficient shape optimization

By Amine Ammar, Antonio Huerta, Francisco Chinesta, Elías Cueto, Adrien Leygue. 2014

89 citations recorded by the source corpus.

Subfields: Civil and Structural Engineering, Computational Mechanics, Industrial and Manufacturing Engineering

View Paper: https://www.semanticscholar.org/paper/d6b122b144763756a854ad24fe86d8cd11a66fa8

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

1. Matteo Diez
2. Antonio Huerta
3. Frederick Stern
4. Emilio Fortunato Campana

In Computational Mechanics

1. Matteo Diez
2. Antonio Huerta
3. Sergio Zlotnik
4. David Modesto
5. Frederick Stern
6. Emilio Fortunato Campana
7. John Dolbow
8. Pablo M. Carrica

Citations in the corpus

• Proper generalized decomposition for parameterized Helmholtz problems in heterogeneous and unbounded domains: Application to harbor agitation (2015, background): “More challenging implementations can include geometrical parameters, see [42, 43].”
• Design-space dimensionality reduction in shape optimization by Karhunen–Loève expansion (2015, methodology): “An approach to compute geometrically parametrized solutions including sensitivities is presented in [25] based on a proper generalized decomposition (PGD).”