Gradient-Based Shape Optimization is a computational method in shape optimization that iteratively adjusts the geometry of a structure by utilizing the gradient of an objective function with respect to shape design variables to determine the direction of optimal improvement.
246
Publications
11.8K
Citations
606
Authors
275
Institutions
Publications per year
2017–2026
82
Parents
Publications
246
1–5 of 246
Authors
606
- JR
16
h-index
- HA
10
h-index
- ZL
8
h-index
- GK
7
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- DW
6
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1–5 of 606
Institutions
275
University of Michigan
Ann Arbor, United States
17 h-index
50 publications
3.8K citations
Centre National de la Recherche Scientifique
Paris, France
10 h-index
17 publications
521 citations
Stanford University
Stanford, United States
10 h-index
20 publications
790 citations
University of Toronto
Toronto, Canada
8 h-index
14 publications
937 citations
Delft University of Technology
Delft, The Netherlands
6 h-index
12 publications
432 citations
University of Illinois Urbana-Champaign
Urbana, United States
6 h-index
15 publications
808 citations
Universität Trier
Trier, Germany
5 h-index
6 publications
260 citations
Nagoya University
Nagoya, Japan
5 h-index
5 publications
178 citations
1–8 of 275
Venues
- AIAA Journal
21 publications · 1.4K citations
19
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- Structural and Multidisciplinary Optimization
10 publications · 242 citations
10
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- Computer Methods in Applied Mechanics and Engineering
8 publications · 992 citations
8
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- Journal of Aircraft
8 publications · 539 citations
8
h-index
- International Journal for Numerical Methods in Engineering
6 publications · 264 citations
6
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1–5