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This paper presents in a unified way a set of hybrid methods, named FEM-BCI (Finite Element Method — Boundary Condition Iteration), already devised by the authors for the solution of electromagnetic problems, ranging from static and quasi static to dynamic ones, both for scalar and vector unknowns.
In this paper, the optimization of the shielding of an axisymmetric levitation melting system is performed by means of the Particle Swarm Optimization algorithm. A non-standard Hybrid FEM-BEM is used to deal with the unbounded nature of the electromagnetic field problem and to reduce the computing effort required for optimization. The shape of the shield is derived by using Bèzier curves. Moreover,...
In this paper the hybrid FEM-GDBCI (Finite Element Method — Galerkin Dirichlet Boundary Condition Iteration) method is described for the finite element solution of a variety of low-frequency electromagnetic field problems in open boundary domains. The method assumes a Dirichlet boundary condition on the truncation boundary and its imposition is made by means of a Galerkin integral equation over the...
This paper extends the hybrid finite-element method–Dirichlet boundary condition iteration method for the solution of open-boundary electrostatic problems to the case, in which some floating potential conductors are present in the system. The iterative solution scheme of the basic method is modified in order to deal with the unknown values of the potential of these conductors.
In this paper the authors consider a real-world set of cables on which Power Line Communication (PLC) signals are transmitted in the power distribution network of a ship. The electrical signals which convey PLC data are carried by unshielded cables and may therefore interact with the external environment and affect the functioning of other devices. On the basis of a set of working assumptions, several...
This paper compares the hybrid FEM-BEM and FEM-DBCI methods for the solution of open-boundary electrostatic field problems. Both methods couple a differential equation for the interior problem with an integral equation for the exterior one. The comparison shows that FEM-BEM is more accurate than FEM-DBCI but requires more computing time.
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