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ISSN: 2582-8266 (Online)  || UGC Compliant Journal || Google Indexed || Impact Factor: 9.48 || Crossref DOI

Fast Publication within 2 days || Low Article Processing charges || Peer reviewed and Referred Journal

Research and review articles are invited for publication in Volume 18, Issue 2 (February 2026).... Submit articles

Electromagnetic frequency prediction pattern for electrical circuited shell based on FSTT theory using electromagnetic wave prediction method

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  • Electromagnetic frequency prediction pattern for electrical circuited shell based on FSTT theory using electromagnetic wave prediction method

Ali Bahadori manizani * and Leila Shafieian

University of California. Santa Cruz, Silicon Valley Extension, Santa Clara, CA.

Research Article
 
World Journal of Advanced Engineering Technology and Sciences, 2024, 13(01), 930–936.
Article DOI: 10.30574/wjaets.2024.13.1.0388
DOI url: https://doi.org/10.30574/wjaets.2024.13.1.0388

Received on 26 July 2024; revised on 07 October 2024; accepted on 10 October 2024

This research focuses on electromagnetic analysis of electrical circuited shell to predict possible failure using wave prediction method. The equation is established considering axial and lateral hydrostatic pressure based on first order shear deformation theory of shell motion using the wave propagation approach and classic Flügge shell equations. For validation of accuracy of this research method, a comparison carried out with experimental data.  With this method the effects of circuit parameters as well as different t power-law exponent on the frequencies are investigated. The results showed fantastic agreement between the present method and experimental ones.

FSST Method; Wave propagation; Frequency prediction; Electromagnetic wave

https://wjaets.com/sites/default/files/fulltext_pdf/WJAETS-2024-0388.pdf

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Ali Bahadori manizani and Leila Shafieian. Electromagnetic frequency prediction pattern for electrical circuited shell based on FSTT theory using electromagnetic wave prediction method. World Journal of Advanced Engineering Technology and Sciences, 2024, 13(01), 930–936. Article DOI: https://doi.org/10.30574/wjaets.2024.13.1.0388

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