Self-directed online machine learning for topology optimization [PDF]
Topology optimization by optimally distributing materials in a given domain requires non-gradient optimizers to solve highly complicated problems. However, with hundreds of design variables or more involved, solving such problems would require millions ...
Changyu Deng+3 more
semanticscholar +1 more source
Optimal transportation, topology and uniqueness [PDF]
The Monge-Kantorovich transportation problem involves optimizing with respect to a given a cost function. Uniqueness is a fundamental open question about which little is known when the cost function is smooth and the landscapes containing the goods to be transported possess (non-trivial) topology.
Najma Ahmad+4 more
openaire +3 more sources
On the Virtual Element Method for Topology Optimization on polygonal meshes: a numerical study [PDF]
It is well known that the solution of topology optimization problems may be affected both by the geometric properties of the computational mesh, which can steer the minimization process towards local (and non-physical) minima, and by the accuracy of the ...
Antonietti, Paola F.+3 more
core +2 more sources
Topology optimization of turbulent flows [PDF]
Abstract The aim of this work is to present a fast and viable approach for taking into account turbulence in topology optimization of complex fluid flow systems, without resorting to any simplifying assumptions in the derivation of discrete adjoints. Topology optimization is an iterative gradient-based design process which minimizes an objective and ...
Cetin B. Dilgen+4 more
openaire +4 more sources
Constraint interface preconditioning for topology optimization problems [PDF]
The discretization of constrained nonlinear optimization problems arising in the field of topology optimization yields algebraic systems which are challenging to solve in practice, due to pathological ill-conditioning, strong nonlinearity and size.
Kocvara, Michal+2 more
core +2 more sources
Optimal topological spin pump [PDF]
4 pages, 2 ...
Dganit Meidan+2 more
openaire +3 more sources
Self-supporting structure design in additive manufacturing through explicit topology optimization
One of the challenging issues in additive manufacturing (AM) oriented topology optimization is how to design structures that are self-supportive in a manufacture process without introducing additional supporting materials. In the present contribution, it
Du, Zongliang+5 more
core +1 more source
3-D topology optimization of single-pole-type head by using design sensitivity analysis [PDF]
It is necessary to develop a write head having a large recording field and small stray field in adjacent tracks and adjacent bits in perpendicular magnetic recording systems.
Akiyama, Koji+2 more
core +1 more source
Topology optimization of geometrically nonlinear structures using an evolutionary optimization method [PDF]
Iso-XFEM method is an evolutionary optimization method developed in our previous studies to enable the generation of high resolution topology optimised designs suitable for additive manufacture.
Bathe K. J.+3 more
core +3 more sources
Multiobjective 3-D Topology Optimization of Next-Generation Wireless Data Center Network
As one of the next-generation network technologies for data centers, wireless data center networks have important research significance. Smart architecture optimization and management are vital for wireless data center networks.
Bin Cao+6 more
semanticscholar +1 more source