Topology optimization using PETSc: An easy-to-use, fully parallel, open source topology optimization framework
2015
333 citations recorded by the source corpus.
Subfields: Civil and Structural Engineering, Computational Theory and Mathematics, Control and Systems Engineering
View Paper: https://www.semanticscholar.org/paper/749daaa79479bff82d9c06e5c0047178e99ed5b9
Citations in the corpus
- Homogenization‐based topology optimization for high‐resolution manufacturable microstructures (2018, background): “Nevertheless, large-scale topology optimization still comes at a high computational cost, dominated by the finite element analysis [1].”
- Length scale and manufacturability in density-based topology optimization (2016, background): “The main advantages compared to classical filters are the lower computational cost [2], the re-utilization of solvers developed for the state problems [93], relatively easy parallelization for large scale problems [1], utilization of different filter parameters in different parts of the design domai”
- On the (non-)optimality of Michell structures (2016, methodology): “To solve the optimization problem, we use the topology optimization framework provided by Aage et al. (2015).”
- Density based topology optimization of turbulent flow heat transfer systems (2018, methodology): “The updating of the design variables γ is determined using the method of moving assymptotes (MMA) [32], with a parallel PETSc implementation presented in [2,1].”
- Giga-voxel computational morphogenesis for structural design (2017, methodology): “The solution methodology proposed next is based on the large-scale topology optimization framework presented in (25).”