Shape Optimizations of Metallic Sheets Using a Multigrid Approach

Date

2017-09-27

Author

Altinoklu, Askin
Karaova, Gokhan
Ergül, Özgür Salih

Metadata

Show full item record

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Item Usage Stats

163
views

0
downloads

We present a novel multigrid approach for the shape optimizations of corrugated metallic sheets by using genetic algorithms (GAs) and the multilevel fast multipole algorithm (MLFMA). The overall mechanism is obtained by an efficient integration of GAs and MLFMA, while the optimizations are improved by applying multiple grids at different layers. We show that the multigrid approach provides more effective optimizations than the conventional no-grid optimizations that employ the discretization nodes directly. The multigrid optimizations become useful especially as the problem size grows and no-grid optimizations demonstrate poor performances.

Subject Keywords

Corrugated metals, Fast algorithms, Genetic Algorithms, Power focusing, Shape optimizations

URI

https://hdl.handle.net/11511/53309

Conference Name

4th International Electromagnetic Compatibility Conference (EMC Turkiye)

Collections

Department of Electrical and Electronics Engineering, Conference / Seminar

Suggestions

OpenMETU
Core

Shape Optimizations of Metallic Sheets for Improved Near-Zone Scattering, Reflection, and Focusing Characteristics Altinoklu, Askin; Ergül, Özgür Salih (2017-10-12) We consider full-wave analysis and optimizations of metallic sheets to obtain desired electromagnetic responses in the near-zone field intensity and power density distributions. Given a metallic sheet of finite size, deformations are applied to achieve diverse scattering and reflection characteristics, particularly focusing and collecting electromagnetic power at different locations. Optimizations are performed by employing genetic algorithms in a multigrid scheme on the discretized geometry, while each tri...
Layout optimization of trusses using simulated annealing Hasançebi, Oğuzhan (2000-09-08) This paper addresses to the development of a simulated annealing (SA) based solution algorithm which is automated to achieve the simultaneous optimum design of truss type structures with respect to size, shape and topology design variables. The proposed algorithm is designed in such a way that together with applicability to practical design problems, it is also aimed at producing efficient and improved design solutions for the problems of interest. From the practicality point of view, the task is chosen as ...
Efficient and Accurate Electromagnetic Optimizations Based on Approximate Forms of the Multilevel Fast Multipole Algorithm Onol, Can; Karaosmanoglu, Bariscan; Ergül, Özgür Salih (2016-01-01) We present electromagnetic optimizations by heuristic algorithms supported by approximate forms of the multilevel fast multipole algorithm (MLFMA). Optimizations of complex structures, such as antennas, are performed by considering each trial as an electromagnetic problem that can be analyzed via MLFMA and its approximate forms. A dynamic accuracy control is utilized in order to increase the efficiency of optimizations. Specifically, in the proposed scheme, the accuracy is used as a parameter of the optimiz...
Parallel-MLFMA Solutions of Large-Scale Problems Involving Composite Objects Ergül, Özgür Salih (2012-07-14) We present a parallel implementation of the multilevel fast multipole algorithm (MLFMA) for fast and accurate solutions of large-scale electromagnetics problems involving composite objects with dielectric and metallic parts. Problems are formulated with the electric and magnetic current combined-field integral equation (JMCFIE) and solved iteratively with MLFMA on distributed-memory architectures. Numerical examples involving canonical and complicated objects, such as optical metamaterials, are presented to...
Rigorous Solutions of Large-Scale Scattering Problems Discretized with Hundreds of Millions of Unknowns Guerel, L.; Ergül, Özgür Salih (2009-09-18) We present fast and accurate solutions of large-scale scattering problems using a parallel implementation of the multilevel fast multipole algorithm (MLFMA). By employing a hierarchical partitioning strategy, MLFMA can be parallelized efficiently on distributed-memory architectures. This way, it becomes possible to solve very large problems discretized with hundreds of millions of unknowns. Effectiveness of the developed simulation environment is demonstrated on various scattering problems involving canonic...

Citation Formats

A. Altinoklu, G. Karaova, and Ö. S. Ergül, “Shape Optimizations of Metallic Sheets Using a Multigrid Approach,” presented at the 4th International Electromagnetic Compatibility Conference (EMC Turkiye), Ankara, TURKEY, 2017, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/53309.