Towards a space reduction approach for efficient structural shape optimization

By B. Raghavan, Piotr Breitkopf, Y. Tourbier, Pierre Villon. 2013

62 citations recorded by the source corpus.

Subfields: Civil and Structural Engineering, Computational Mechanics

View Paper: https://www.semanticscholar.org/paper/c0e1079b876f04868c65b657086dfb341d3da920

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. X. Chen
3. M. Kandasamy
4. Frederick Stern
5. Emilio Fortunato Campana
6. Zhiguo Zhang

In Computational Mechanics

1. Matteo Diez
2. X. Chen
3. M. Kandasamy
4. Frederick Stern
5. Emilio Fortunato Campana
6. Zhiguo Zhang
7. Pablo M. Carrica

Citations in the corpus

• High-fidelity global optimization of shape design by dimensionality reduction, metamodels and deterministic particle swarm (2015, methodology): “Raghavan et al. (2013) make use of principal components analysis for building a reduced-order local model for shape representation.”
• Design-space dimensionality reduction in shape optimization by Karhunen–Loève expansion (2015, methodology): “The principal component analysis (PCA) is applied to a cloud of points in the design variable domain and in the neighborhood of the current design point in [23].”