| People | Locations | Statistics |
|---|---|---|
| Naji, M. |
| |
| Motta, Antonella |
| |
| Aletan, Dirar |
| |
| Mohamed, Tarek |
| |
| Ertürk, Emre |
| |
| Taccardi, Nicola |
| |
| Kononenko, Denys |
| |
| Petrov, R. H. | Madrid |
|
| Alshaaer, Mazen | Brussels |
|
| Bih, L. |
| |
| Casati, R. |
| |
| Muller, Hermance |
| |
| Kočí, Jan | Prague |
|
| Šuljagić, Marija |
| |
| Kalteremidou, Kalliopi-Artemi | Brussels |
|
| Azam, Siraj |
| |
| Ospanova, Alyiya |
| |
| Blanpain, Bart |
| |
| Ali, M. A. |
| |
| Popa, V. |
| |
| Rančić, M. |
| |
| Ollier, Nadège |
| |
| Azevedo, Nuno Monteiro |
| |
| Landes, Michael |
| |
| Rignanese, Gian-Marco |
|
Ostanin, Igor
University of Twente
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (6/6 displayed)
- 2020Collapse modes in SC and BCC arrangements of elastic beads
- 2020Collapse modes in simple cubic and body-centered cubic arrangements of elastic beads
- 2019High-Performance Numerical Modeling of Nanofabrics with Distinct Element Method
- 2019Distinct element simulation of mechanical properties of hypothetical CNT nanofabrics
- 2019Single-walled carbon nanotube membranes for optical applications in the extreme ultraviolet range
- 2016What Lies Beneath the Surface: Topological-Shape Optimization With the Kernel-Independent Fast Multipole Method
Places of action
| Organizations | Location | People |
|---|
document
What Lies Beneath the Surface: Topological-Shape Optimization With the Kernel-Independent Fast Multipole Method
Abstract
The paper presents a new method for shape and topology optimization based on an efficient and scalable boundary integral formulation for elasticity. To optimize topology, our approach uses iterative extraction of isosurfaces of a topological derivative. The numerical solution of the elasticity boundary value problem at every iteration is performed with the boundary element formulation and the kernel-independent fast multipole method. Providing excellent single node performance, scalable parallelization and the best available asymptotic complexity, our method is among the fastest optimization tools available today. The performance of our approach is studied on few illustrative examples, including the optimization of engineered constructions for the minimum compliance and the optimization of the microstructure of a metamaterial for the desired macroscopic tensor of elasticity.