Shape Optimization Under Uncertainty is a shape optimization framework that specifically incorporates probabilistic or non-deterministic variations in input parameters, design variables, or environmental conditions to yield robust or reliable optimal shapes under uncertain operating or modeling conditions.
96
Publications
4.5K
Citations
229
Authors
133
Institutions
Publications per year
2017–2026
26
Parents
Publications
96
1–5 of 96
Authors
229
- GA
3
h-index
- SC
3
h-index
- CD
3
h-index
- VS
3
h-index
- MR
3
h-index
1–5 of 229
Institutions
133
Centre National de la Recherche Scientifique
Paris, France
5 h-index
10 publications
515 citations
Universität Trier
Trier, Germany
4 h-index
6 publications
341 citations
Sorbonne Université
Paris, France
4 h-index
6 publications
329 citations
École Polytechnique
Palaiseau, France
3 h-index
3 publications
102 citations
University of Liège
Liège, Belgium
3 h-index
7 publications
287 citations
Laboratoire Jacques-Louis Lions
Paris, France
3 h-index
5 publications
239 citations
Centre de Mathématiques Appliquées de l'École polytechnique
Palaiseau, France
3 h-index
3 publications
102 citations
University of Colorado Boulder
Boulder, United States
3 h-index
4 publications
237 citations
1–8 of 133
Venues
- Structural and Multidisciplinary Optimization
13 publications · 726 citations
13
h-index
- Computer Methods in Applied Mechanics and Engineering
9 publications · 933 citations
9
h-index
- Computers & Structures
7 publications · 486 citations
7
h-index
- SIAM Journal on Control and Optimization
3 publications · 78 citations
3
h-index
- Engineering Analysis with Boundary Elements
3 publications · 66 citations
3
h-index
1–5