<p>In this study, a novel thermomechanical model for elastic solids is developed within the framework of the fractional Green–Naghdi type II (GN-II) theory, enhanced by memory-dependent derivatives (MDD) and excluding energy dissipation. The model integrates generalized non-Fourier heat conduction to capture both time-delay and fractional-order effects in thermoelastic responses. Fundamental theoretical results are established, including a uniqueness theorem, a variational principle, and a reciprocity relation. The proposed framework is applied to a half-space subjected to a time-dependent thermal shock. A computational approach is used to perform inverse Laplace transforms, enabling the analysis of temperature, displacement, stress, and heat flux under different theoretical assumptions. Results show that the inclusion of a nonlinear memory kernel significantly affects the spatial and temporal distribution of field quantities. The findings confirm the model's capacity to accurately describe thermoelastic wave-diffusion phenomena. The proposed approach thus offers a more comprehensive and physically consistent alternative to classical models and lays the foundation for future studies on coupled thermal–mechanical behaviors in advanced materials.</p>

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On Green–Naghdi (II) thermoelasticity theory with time-fraction and memory-dependent derivatives

  • Mohamed H. Hendy,
  • Magdy A. Ezzat

摘要

In this study, a novel thermomechanical model for elastic solids is developed within the framework of the fractional Green–Naghdi type II (GN-II) theory, enhanced by memory-dependent derivatives (MDD) and excluding energy dissipation. The model integrates generalized non-Fourier heat conduction to capture both time-delay and fractional-order effects in thermoelastic responses. Fundamental theoretical results are established, including a uniqueness theorem, a variational principle, and a reciprocity relation. The proposed framework is applied to a half-space subjected to a time-dependent thermal shock. A computational approach is used to perform inverse Laplace transforms, enabling the analysis of temperature, displacement, stress, and heat flux under different theoretical assumptions. Results show that the inclusion of a nonlinear memory kernel significantly affects the spatial and temporal distribution of field quantities. The findings confirm the model's capacity to accurately describe thermoelastic wave-diffusion phenomena. The proposed approach thus offers a more comprehensive and physically consistent alternative to classical models and lays the foundation for future studies on coupled thermal–mechanical behaviors in advanced materials.