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September 5, 2025Mathematical Methods in the Applied Sciences20 citations

Fractional DPL Thermoelasticity With Rabotnov Kernel in a Rotating Stressed Medium With Spherical Cavity

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AAAhmed E. AbouelregalSASalman S. AlsaeedEYEcren Uzun Yaylacı

Key Points

  • The novel model accurately captures memory-dependent interactions in high-speed rotating systems, enhancing predictive capabilities.
  • Integrating fractional derivatives facilitates better modeling of anomalous heat conduction and stress relaxation phenomena.
  • Using Laplace transforms, the study derives temporal solutions for thermal and mechanical responses, emphasizing their significance in materials.
  • The impact of the Rabotnov kernel's parameters and fractional order reveals essential insights for engineering applications in various fields.

Abstract

ABSTRACT This study introduces a novel fractional dual‐phase‐lag (DPL) thermoelastic model that incorporates the nonsingular Rabotnov exponential kernel to analyze wave propagation in a rotating, unbounded medium with a spherical cavity under initial hydrostatic stress and a constant magnetic field. Unlike traditional fractional models with singular kernels, the proposed approach uniquely captures memory‐dependent and nonlocal interactions, providing superior accuracy in modeling anomalous heat conduction and stress relaxation in high‐speed rotating systems. By integrating fractional derivatives with phase delays, the model effectively accounts for thermal and mechanical wave dispersion, offering new insights into materials with history‐dependent behaviors. Using Laplace transforms and numerical inversion, temporal solutions are derived for temperature, displacement, stresses, and induced electromagnetic fields. The results emphasize the significant influence of the Rabotnov kernel's parameters and the fractional order on material responses. This work advances the field of thermoelasticity by presenting a versatile and physically realistic framework with broad implications for engineering applications, such as aerospace structures and geophysical systems.

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Cite This Study

Abouelregal et al. (2025) studied this question.

synapsesocial.com/papers/68bb4df56d6d5674bcd0217dhttps://doi.org/10.1002/mma.70093
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