Interaction of edge dislocation array with bimaterial interface incorporating interface elasticity

Результат исследований: Научные публикации в периодических изданияхстатьярецензирование

6 Цитирования (Scopus)


We extend the analytical method developed earlier for constructing periodic Green functions in the case of a half plane with surface stress to the problem on an interaction between the dislocation array (misfit dislocations) and the interface in bimaterial at the nanoscale. We use the complete Gurtin–Murdoch surface elasticity model for the interface under plane strain conditions, incorporating the interface stress and interface tension. Based on Goursat–Kolosov's complex potentials, Muskhelishvili's representations and original superposition technique, we reduce the solution of the problem to the singular integro-differential equation in complex displacement at the interface and derive analytical formulas for the elastic field in the explicit form suitable for numerical investigations. Numerical results are obtained by neglecting residual interface stress (interface tension) in order to reveal the pure effect of interface properties due to deformation. Bearing in mind that strength and fracture of heterogeneous and crystalline materials is essentially influenced by the stress field at the interface and the dislocation mobility, we give the numerical results of analyzing the stress distribution at the interface and image forces acting on dislocations at the nanoscale depending on the dislocation-interface distance, period of the array and stiffness ratio of the bimaterial.

Язык оригиналаанглийский
Номер статьи103233
Число страниц17
ЖурналInternational Journal of Engineering Science
Ранняя дата в режиме онлайн15 фев 2020
СостояниеОпубликовано - 2020

Предметные области Scopus

  • Материаловедение (все)
  • Технология (все)
  • Общее машиностроение
  • Сопротивление материалов


Подробные сведения о темах исследования «Interaction of edge dislocation array with bimaterial interface incorporating interface elasticity». Вместе они формируют уникальный семантический отпечаток (fingerprint).