2008, 30(10): 2364-2368.
doi: 10.3724/SP.J.1146.2007.00540
Abstract:
In this paper, an Adaptively Modified Characteristic Basis Function Method (AMCBFM) based on partitioning object geometry into blocks is proposed. Firstly, the primary CBFs arising from the self-interaction within the self-block are generated, then the primary current vector is elicited; subsequently, the second CBFs which account for the mutual coupling effects from the other distinct domains expect the own ones by using the inter-impedances, primary current vectors and the modulus of the primary CBFs coefficients, is gotten. And a more accurate current vector is obtained. The higher CBFs can be also derived with the same way. The difference of the currents convergence speeds between the new CBFM and conventional CBFMs under diverse models via a new convenient method of controlling the result precision is discussed, and the results show that the new CBFM is better than those of conventional ones. Finally, the relationship between the block number and the unknowns under the condition of improving calculating speed is analyzed. The numerical results indicate that the new method has a series of merits: reducing the size of the matrix equation into a small level, the satisfying precision, high calculating speed and simple error control condition.