Predicting Statistical Wave Physics in Complex Enclosures: A Stochastic Dyadic Green's Function Approach

Lin, Shen; Luo, Sangrui; Ma, Shukai; Feng, Junda; Shao, Yang; Drikas, Zachary B.; Addissie, Bisrat D.; Anlage, Steven M.; Antonsen, Thomas M.; Peng, Zhen

doi:10.1109/temc.2023.3234912

Cited by 5 publications

(5 citation statements)

References 66 publications

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“…We remark that the initial study of this work has been reported in a conference paper [30]. This article significantly extends and elaborates the approaches and numerical experiments presented in [30].…”

supporting

confidence: 63%

“…The results are essentially the same as the case of electric eigenvectors in [29]. The mean value of the dyadic expression in the numerator of ( 11) is…”

Section: Extension Of S-dgfmentioning

confidence: 53%

“…The matrix Y a 0 consists of real and imaginary parts, expressed as Y a 0 = R a 0 + jX a 0 . Following the steps outlined in Appendix F [29], we can construct the aperture admittance matrix Y a S for the interior cavity region…”

Section: F Calculation Of Statistical Cavity Q-factormentioning

confidence: 99%

“…After incorporating the RWM and RMT approximation, the expression of S-DGF for a pair of source and field points is given by [29]…”

Section: B Introduction Of S-dgfmentioning

confidence: 99%

“…The contribution of this work is a hybrid deterministicstochastic model that is built upon a recently developed stochastic Green's function (SGF) method [27], [28], [29]. The SGF can be considered as a physics-oriented, statistical surrogate model for the vector wave equation in large, complex enclosures.…”

mentioning

confidence: 99%

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Statistical Analysis of Cavity Quality Factor Due to Localized Losses With the Stochastic Green's Function Method

Lin,

Luo,

Shao

et al. 2024

IEEE Trans. Electromagn. Compat.

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The statistical characterization of the cavity quality factor (Q-factor) holds significant practical importance, especially in the context of large and complex metallic enclosures. While there are existing methods for analyzing Q-factor statistics attributed to distributed and uniform losses, there is a noticeable gap in addressing the statistical cavity Q-factor arising from localized losses, such as aperture leakage, wall coating, and absorptive loading. This article introduces a physics-oriented, hybrid deterministic-stochastic approach to predict the statistical distribution of cavity Q-factor due to localized losses. The key ingredient of this method is the stochastic Green's function integral equation formulation, grounded in a statistical description of the cavity eigenmodes within an enclosed electromagnetic environment. The computational model is evaluated through both numerical and laboratory experiments, validating its reliability and applicability in real-world scenarios.

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supporting

confidence: 63%

“…The results are essentially the same as the case of electric eigenvectors in [29]. The mean value of the dyadic expression in the numerator of ( 11) is…”

Section: Extension Of S-dgfmentioning

confidence: 53%

Section: F Calculation Of Statistical Cavity Q-factormentioning

confidence: 99%

“…After incorporating the RWM and RMT approximation, the expression of S-DGF for a pair of source and field points is given by [29]…”

Section: B Introduction Of S-dgfmentioning

confidence: 99%

mentioning

confidence: 99%

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Statistical Analysis of Cavity Quality Factor Due to Localized Losses With the Stochastic Green's Function Method

Lin,

Luo,

Shao

et al. 2024

IEEE Trans. Electromagn. Compat.

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Modeling of electromagnetic propagation inside jet engine environment using statistical electromagnetic approach

Krishna,

Abdelaziz,

Khattab

2024

Sci Rep

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In this paper, the distribution of the electromagnetic field inside a complex jet engine environment is analyzed using statistical electromagnetics. The jet engine environment is an extremely complex geometry and exhibits random behavior due to the presence of moving metallic parts. This renders traditional analytical and simulation modeling techniques highly inefficient. To address this issue, two different approaches are proposed to model the propagation characteristics of the jet engine environment. The first is an innovative dynamic system approach based on dynamic system simulation which is inspired by the analysis of mechanically stirred reverberation chambers. In the dynamic system simulation the dynamic system, which is characterized by the rotation of a distinct set of blades, is primarily studied through the simulation program. A dimension scaling method is also introduced along with the dynamic system simulation to solve the complex jet engine environment. In the second approach, a novel statistical excitation method is applied to develop an equivalent model for the dynamic jet engine system. The studied jet engine is considered as a static jet engine system without blade rotation (static blades), but with a random excitation.A small signal analysis method is used to integrate the static and dynamic system parameters to generate random excitation characteristics of the static system. The extracted electric field values from the dynamic jet engine simulation environment and the static system field values from the small signal analysis have been analyzed statistically to prove the statistical equality between the two systems. The numerical results of the static system model are presented and verified through comparison with finite element method simulation packages.

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Intensity statistics inside an open wave-chaotic cavity with broken time-reversal invariance

Fyodorov,

Safonova

2023

Phys. Rev. E

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Predicting Statistical Wave Physics in Complex Enclosures: A Stochastic Dyadic Green's Function Approach

Cited by 5 publications

References 66 publications

Statistical Analysis of Cavity Quality Factor Due to Localized Losses With the Stochastic Green's Function Method

Statistical Analysis of Cavity Quality Factor Due to Localized Losses With the Stochastic Green's Function Method

Modeling of electromagnetic propagation inside jet engine environment using statistical electromagnetic approach

Intensity statistics inside an open wave-chaotic cavity with broken time-reversal invariance

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