Thermoelastic analysis of a nonsimple hollow rod with nonlocal elasticity and reconstructed memory: an analytical approach

Purpose This study investigates the thermoelastic response of a nonsimple hollow rod by strategically integrating reconstructed memory-dependent derivatives (rMDD) with Eringen’s nonlocal elasticity theory. The aim is to refine the representation of delayed and spatially distributed heat transfer in microscale materials. Design/methodology/approach A modified single-phase-lag (SPL) model is employed, incorporating rMDD operators and nonlocal elasticity. Analytical solutions are derived using Laplace transforms, with numerical inversion performed via Honig–Hirdes and trapezoidal schemes to ensure stability and accuracy. Comparative reductions to classical Fourier, Cattaneo–Vernotte, Green–Naghdi and local elasticity models validate the formulation. Findings The results demonstrate smoother temperature evolution, stress localization and enhanced stability across different kernel types. Graphical simulations highlight the influence of fractional parameters and nonlocal kernels on thermal and mechanical responses. The framework provides deeper insights into memory-driven and nonlocal effects in hollow geometries. Originality/value The novelty lies in the strategic integration of rMDD with nonlocal elasticity for hollow rod geometries, enabling closed-form analytical solutions. This approach advances theoretical modeling of thermoelasticity in microscale and nanoscale systems, with potential applications in semiconductor devices, aerospace structures and nanotechnology. The work fills a gap in the literature by extending memory-based thermoelastic analysis to hollow geometries.

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Publication Details

Journal
Multidiscipline Modeling in Materials and Structures
Published
2026-01-07
DOI
https://doi.org/10.1108/mmms-09-2025-0360
Primary Topic
Nonlocal and gradient elasticity in micro/nano structures
Type
article
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article

Thermoelastic analysis of a nonsimple hollow rod with nonlocal elasticity and reconstructed memory: an analytical approach

Jitendra Patil, C. M. Jadhav, Nitin Chandel, Vinod Varghese et al.
Multidiscipline Modeling in Materials and Structures
Nonlocal and gradient elasticity in micro/nano structures
article

Thermoelastic analysis of a nonsimple hollow rod with nonlocal elasticity and reconstructed memory: an analytical approach

Jitendra Patil, C. M. Jadhav, Nitin Chandel, Vinod Varghese, Jogi John
article en

Abstract

Purpose This study investigates the thermoelastic response of a nonsimple hollow rod by strategically integrating reconstructed memory-dependent derivatives (rMDD) with Eringen’s nonlocal elasticity theory. The aim is to refine the representation of delayed and spatially distributed heat transfer in microscale materials. Design/methodology/approach A modified single-phase-lag (SPL) model is employed, incorporating rMDD operators and nonlocal elasticity. Analytical solutions are derived using Laplace transforms, with numerical inversion performed via Honig–Hirdes and trapezoidal schemes to ensure stability and accuracy. Comparative reductions to classical Fourier, Cattaneo–Vernotte, Green–Naghdi and local elasticity models validate the formulation. Findings The results demonstrate smoother temperature evolution, stress localization and enhanced stability across different kernel types. Graphical simulations highlight the influence of fractional parameters and nonlocal kernels on thermal and mechanical responses. The framework provides deeper insights into memory-driven and nonlocal effects in hollow geometries. Originality/value The novelty lies in the strategic integration of rMDD with nonlocal elasticity for hollow rod geometries, enabling closed-form analytical solutions. This approach advances theoretical modeling of thermoelasticity in microscale and nanoscale systems, with potential applications in semiconductor devices, aerospace structures and nanotechnology. The work fills a gap in the literature by extending memory-based thermoelastic analysis to hollow geometries.

Multidiscipline Modeling in Materials and Structures
G.S. Science, Arts And Commerce College (IN), MTI College (US), Nishinippon Institute of Technology (JP)
Openalex Percentile: Top 95%
Nonlocal and gradient elasticity in micro/nano structures
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