Show simple item record

dc.contributor.authorLi, Peng
dc.contributor.authorJiang, Li-Jun
dc.contributor.authorBagci, Hakan
dc.date.accessioned2017-06-05T08:35:48Z
dc.date.available2017-06-05T08:35:48Z
dc.date.issued2015-01-07
dc.identifier.urihttp://hdl.handle.net/10754/624092
dc.description.abstractA hybrid electromagnetics (EM)-circuit simulator for analyzing complex systems consisting of EM devices loaded with nonlinear multi-port lumped circuits is described. The proposed scheme splits the computational domain into two subsystems: EM and circuit subsystems, where field interactions are modeled using Maxwell and Kirchhoff equations, respectively. Maxwell equations are discretized using a discontinuous Galerkin time domain (DGTD) scheme while Kirchhoff equations are discretized using a modified nodal analysis (MNA)-based scheme. The coupling between the EM and circuit subsystems is realized at the lumped ports, where related EM fields and circuit voltages and currents are allowed to “interact’’ via numerical flux. To account for nonlinear lumped circuit elements, the standard Newton-Raphson method is applied at every time step. Additionally, a local time-stepping scheme is developed to improve the efficiency of the hybrid solver. Numerical examples consisting of EM systems loaded with single and multiport linear/nonlinear circuit networks are presented to demonstrate the accuracy, efficiency, and applicability of the proposed solver.
dc.titleA Hybrid DGTD-MNA Scheme for Analyzing Complex Electromagnetic Systems
dc.typePoster
dc.contributor.departmentMaterials Science and Engineering Program
dc.contributor.departmentPhysical Sciences and Engineering (PSE) Division
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
dc.contributor.departmentElectrical Engineering Program
dc.contributor.departmentComputer, Electrical and Mathematical Sciences & Engineering (CEMSE)
dc.conference.dateJanuary 6-9, 2015
dc.conference.nameAdvances in Uncertainty Quantification Methods, Algorithms and Applications (UQAW 2015)
dc.conference.locationKAUST
dc.contributor.institutionThe University of Hong Kong
kaust.personLi, Peng
kaust.personBagci, Hakan
refterms.dateFOA2018-06-14T03:18:28Z


Files in this item

Thumbnail
Name:
44_Li.pdf
Size:
384.0Kb
Format:
PDF
Description:
Poster

This item appears in the following Collection(s)

Show simple item record