Diffraction by a trihedral angle: full-wave numerical solution

Author(s):  
A.N. Kurokhtin ◽  
A.V. Popov
Radio Science ◽  
1966 ◽  
Vol 1 (8) ◽  
pp. 957-970 ◽  
Author(s):  
Yuji Inoue ◽  
Samuel Horowitz

2013 ◽  
Vol 135 (5) ◽  
Author(s):  
Jing Jing Yang ◽  
Ming Huang ◽  
Guang Hui Cai ◽  
Ru Sheng Xie ◽  
Jie Yang

The inverse method based on the numerical solution of Laplace's equation is introduced for the design of acoustic metamaterial devices. An arbitrary shaped acoustic concentrator and an external cloak are designed numerically and validated by full wave simulation. Besides, an acoustic reciprocal cloak and a field rotator are proposed. Compared with the analytical method, the inverse method is much more universal, and arbitrary shaped acoustic metamaterial devices can be flexibly designed without any knowledge of the transformation equations.


2012 ◽  
Vol 490-495 ◽  
pp. 706-710
Author(s):  
Yan Liu ◽  
Xue Yu Gong ◽  
Lei Yang ◽  
Xiao Wei Peng ◽  
Wen Yan Liu

This paper uses the full wave method to study the fast wave current drive (FWCD) problem for Ion cyclotron resonance frequency (ICRF). It exists in such plasma bodies as circumferential Tokamak. The research has considered finite Larmor radius effect (FLR) and flattened dispersion. It found the physical model for full wave calculation-full wave method. Through the numerical solution of full wave method, the distribution of electric field strength can be obtained, which is stimulated and produced when fast wave stays in plasma body.


2020 ◽  
Vol 2 (1) ◽  
pp. 15-18
Author(s):  
Syabeela Syahali ◽  
Ewe Hong Tat ◽  
Gobi Vetharatnam ◽  
Li-Jun Jiang ◽  
Hamsalekha A Kumaresan

This paper analyses the backscattering cross section of a cylinder both using traditional method model and a new numerical solution model, namely Relaxed Hierarchical Equivalent Source Algorithm (RHESA). The purpose of this study is to investigate the prospect of incorporating numerical solution model into volume scattering calculation, to be applied into microwave remote sensing in vegetation area. Results show a good match, suggesting that RHESA may be suitable to be used to model the more complex nature of vegetation medium.


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