Dynamic behavior of graphene-origami-based meta-auxetic doublet nanobeam with memory-dependent effect


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Selvamani R., Prabhakaran T., YAYLACI M., SEKBAN D. M., UZUN YAYLACI E.

ACTA MECHANICA, 2026 (SCI-Expanded, Scopus) identifier

  • Yayın Türü: Makale / Tam Makale
  • Basım Tarihi: 2026
  • Doi Numarası: 10.1007/s00707-026-04664-y
  • Dergi Adı: ACTA MECHANICA
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Compendex, INSPEC, MathSciNet, zbMATH
  • Recep Tayyip Erdoğan Üniversitesi Adresli: Evet

Özet

This work explores the mechanical characteristics response electro-magneto-thermoelastic (EMT) nanobeams by simultaneously accounting for fractional viscoelasticity, nonlocal elastic interactions, doublet mechanics, and couple-stress effects. A meta-auxetic architecture is integrated into the nanobeam inspired by graphene-based origami structures, allowing its mechanical behavior to be tuned through geometric reconfiguration and engineered microstructural features. Time-dependent viscoelastic phenomena-such as nanoscale stress relaxation and strain evolution-are captured using the Caputo-form Atangana-Baleanu fractional operator representing the material's memory characteristics. The governing relations are formulated through Hamilton's principle under a nonlocal couple-stress formulation. Because these equations are nonlinear and fractional in nature, the Adomian decomposition technique (ADT) is applied to obtain analytical solution approximations. A comparative study with previously published results is carried out for model verification. The results demonstrate that couple-stress behavior, fractional-order memory effects, auxetic properties arising from graphene-origami structures, doublet mechanics, and nonlocal phenomena all strongly influence the stress-strain behavior and thermal response of the nanobeam. Overall, the study offers important guidelines for designing and optimizing next-generation nanoscale systems, including biomedical sensors, reconfigurable electronics, adaptive fa & ccedil;ade components, and intelligent infrastructural materials.