Pregled bibliografske jedinice broj: 536529
OPTIMIZED TRANSIENT ANALYSIS USING GB-BEM
OPTIMIZED TRANSIENT ANALYSIS USING GB-BEM // Proceedings of the 11th International Workshop on Optimization and Inverse Problems in Electromagnetism OIPE 2010
Sofija: Publishing House at the Technical University of Sofia, 2010. str. 130-131 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 536529 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
OPTIMIZED TRANSIENT ANALYSIS USING GB-BEM
Autori
Antonijević, Siniša ; Dorić, Vicko ; Poljak, Dragan
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings of the 11th International Workshop on Optimization and Inverse Problems in Electromagnetism OIPE 2010
/ - Sofija : Publishing House at the Technical University of Sofia, 2010, 130-131
ISBN
978-954-438-855-3
Skup
OIPE 2010 11th WORKSHOP ON OPTIMIZATION AND INVERSE PROBLEMS IN ELECTROMAGNETISM
Mjesto i datum
Sofija, Bugarska, 14.09.2010. - 18.09.2010
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
adaptive sampling; Fourier transform; GB-BEM; thin wires; time-domain analysis
Sažetak
Transient analysis of the thin wire structures via indirect scheme of the Galerking - Bubnov Boundary Element Method (GB-BEM) is performed using simple optimization techniques for frequency to time domain transformation. The common method of uniform frequency domain sampling combined with Fast Fourier Transform (FFT) is replaced by adaptive frequency domain sampling, combined with simple approximate analytical inverse Fourier transform. The present adaptive sampling method is especially effective for highly resonant geometries where order of magnitude improvements in calculation time can be achieved, when compared with simple uniform sampling. For geometries where high number of frequency samples would be required in inverse FFT, simple approximate analytical inverse Fourier transform, using much lower number of samples obtained during adaptive sampling step, is used thus further improving the overall computational efficiency of the algorithm.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika
POVEZANOST RADA
Projekti:
023-0231582-1585 - Modeliranje ljudskog tijela i izvora zračenja:okolišni i zdravstveni aspekti
Ustanove:
Fakultet elektrotehnike, strojarstva i brodogradnje, Split