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

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.

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Publication Details

Journal
World Journal of Advanced Engineering Technology and Sciences
Published
2024-10-20
DOI
https://doi.org/10.30574/wjaets.2024.13.1.0388
Primary Topic
Internet of Things and Social Network Interactions
Type
article
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article

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

Ali Bahadori manizani, Leila Shafieian
World Journal of Advanced Engineering Technology and Sciences
Internet of Things and Social Network Interactions
article

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

Ali Bahadori manizani, Leila Shafieian
article en

Abstract

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.

World Journal of Advanced Engineering Technology and SciencesVol. 13(1)
Silicon Valley University (US)
Openalex Percentile: Top 80%
Internet of Things and Social Network Interactions
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