Topological Derivatives in Shape Optimization
By Antonio André Novotny, J. Sokołowski. 2012
347 citations recorded by the source corpus.
Subfields: Civil and Structural Engineering, Computational Mechanics
View Paper: https://www.semanticscholar.org/paper/ca47e3e5d46e4a3e8dd37aeed6e3ef7138bb2a96
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
- Georgios-Tsampikos Michailidis
- Charles Dapogny
- Antonio André Novotny
- Emílio Carlos Nelli Silva
- Luís Fernando Nogueira de Sá
- R. Amigo
- A. Faure
- Grégoire Allaire
In Computational Mechanics
- Georgios-Tsampikos Michailidis
- Charles Dapogny
- Antonio André Novotny
- Antoine Laurain
- Emílio Carlos Nelli Silva
- Luís Fernando Nogueira de Sá
- R. Amigo
- A. Faure
Citations in the corpus
- Shape optimization of a layer by layer mechanical constraint for additive manufacturing (2017, background): “[2, 23]), the (tedious) proof of these formulae is not so easily found in the literature in the context of the linearized elasticity system.”
- Distributed shape derivative via averaged adjoint method and applications (2015, background): “1) is the Eshelby energy momentum tensor in continuum mechanics introduced in [14]; see also [33].”
- Topological derivatives applied to fluid flow channel design optimization problems (2016, methodology): “Then, we assume that a given shape functional j(χε(x̂)), associated to the topologically perturbed domain, admits the following topological asymptotic expansion [31] j(χε(x̂)) = j(χ) + f(ε)DT j(x̂) + o(f(ε)) , (2.”