Mathematical Problems in Engineering

Advanced Modeling in Stochastic Computational Electromagnetics


Status
Published

Lead Editor

1University of Split, Split, Croatia

2Politecnico di Milano, Milano, Italy

3Mälardalen University, Västerås, Sweden

4Otto-von-Guericke Universität, Magdeburg, Germany


Advanced Modeling in Stochastic Computational Electromagnetics

Description

The tremendous development of digital computers in the last decades has provided continuous improvement of various sophisticated methods in computational electromagnetics (CEM). CEM analysis methods provide results within an appreciably shorter time than it would be required to build and test the corresponding prototype by means of certain experimental procedures. Furthermore, computer simulation of electromagnetic phenomena enables one to predict a system behavior for a wide range of parameters such as geometry, material properties, boundary and initial conditions, and excitations. Limitations of CEM models when applied to complex configurations resulting in large-scale problems are often related to very high computational cost.

On the other hand, significant discrepancies between calculated and measured results mainly stem due to uncertainties in an input data set arising from numerical instabilities, geometry, manufacturing defects, noise in measurements, and unpredictable and uncontrollable environmental effects. Therefore, of crucial interest for CEM models is to quantify uncertainty propagation due to various sources of uncertainty, as well as to obtain a meaningful statistics of the target variables by resorting to a limited number of simulations.

A plausible and efficient measure of these uncertainties in a set of inputs is one of stochastic methods. Namely, stochastic or stochastic-deterministic modeling can be applied with the objective to quantify such uncertainties by providing one or more output parameters, as random variables, and by computing corresponding statistical moments. In particular, stochastic problems could be divided into two groups: the first one dealing with deterministic system and stochastic fields and the second one when the parameters of the system are unknown.

This special issue aims to invite prospective authors to submit full-length journal papers covering all aspects of stochastic computational electromagnetics. All submitted manuscripts will be subjected to the peer-review process.

Potential topics include but are not limited to the following:

  • Uncertainty quantification
  • Uncertainty propagation, reliability analysis, and sensitivity analysis
  • Stochastic collocation
  • Stochastic finite element methods (SFEMs)
  • Stochastic reduced order models (SROMs)
  • Polynomial chaos expansion

Articles

  • Special Issue
  • - Volume 2018
  • - Article ID 8010743
  • - Editorial

Advanced Modeling in Stochastic Computational Electromagnetics

Dragan Poljak | Flavia Grassi | ... | Sergey Tkachenko
  • Special Issue
  • - Volume 2018
  • - Article ID 4150217
  • - Research Article

Propagation of Current Waves along Randomly Located Multiconductor Transmission Lines inside a Rectangular Resonator

Sergey V. Tkachenko | Juergen B. Nitsch | ... | Ralf Vick
  • Special Issue
  • - Volume 2018
  • - Article ID 7921048
  • - Research Article

A Possibilistic Approach for the Prediction of the Risk of Interference between Power and Signal Lines Onboard Satellites

Nicola Toscani | Flavia Grassi | ... | Sergio A. Pignari
  • Special Issue
  • - Volume 2018
  • - Article ID 7583425
  • - Research Article

Anticollision Method of Active Magnetic Guidance Ranging for Cluster Wells

Xinyu Dou | Huaqing Liang | Yang Liu
  • Special Issue
  • - Volume 2018
  • - Article ID 1917439
  • - Review Article

Stochastic Collocation Applications in Computational Electromagnetics

Dragan Poljak | Silvestar Šesnić | ... | Khalil El Khamlichi Drissi
  • Special Issue
  • - Volume 2018
  • - Article ID 7397592
  • - Research Article

A Kind of Stochastic Eigenvalue Complementarity Problems

Ying-xiao Wang | Shou-qiang Du
  • Special Issue
  • - Volume 2018
  • - Article ID 2035381
  • - Research Article

Reliable Approach for EM Scattering Calculation from Sea Surface Covered with Foams Based on MFBM and VRT Theory

Tao Song | Chuang-Ming Tong | ... | Peng Peng
  • Special Issue
  • - Volume 2017
  • - Article ID 6201745
  • - Research Article

A New Shooting Bouncing Ray Method for Composite Scattering from a Target above the Electrically Large Scope Sea Surface

Peng Peng | Guo Lixin
Mathematical Problems in Engineering
 Journal metrics
Acceptance rate27%
Submission to final decision64 days
Acceptance to publication34 days
CiteScore1.800
Impact Factor1.009
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