4.4 Article

Dynamic model for an ensemble of interacting irradiation-induced defects in a macroscopic sample

Publisher

IOP Publishing Ltd
DOI: 10.1088/1361-651X/abd014

Keywords

elastic dipole tensor; Langevin defect dynamics; finite element method

Funding

  1. French Embassy in London
  2. Euratom research and training programme [633053]
  3. RCUK Energy Programme [EP/T012250/1]

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The developed model utilizes a Langevin defect dynamics approach and a finite element model to describe the evolution of hundreds of nanoscale defects in a micrometer-sized sample. By using the elastic Green's function formalism for long-range interaction between defects, the model avoids the need for volume integration to evaluate elastic energy. Parallelization and coarse-graining numerical algorithms are employed to accelerate simulations, addressing issues of imbalanced forces and moments due to modified boundary problems.
We develop a dynamic model for the evolution of an ensemble of hundreds of interacting irradiation-induced mobile nanoscale defects in a micrometre size sample. The model uses a Langevin defect dynamics approach coupled to a finite element model, treated using the superposition method. The elastic field of each defect is described by its elastic dipole tensor, and the long-range interaction between defects is treated using the elastic Green's function formalism. The approach circumvents the need to evaluate the elastic energy by means of volume integration, and provides a simple expression for the energy of elastic image interaction between the migrating defects and surfaces of the sample. We discuss the underlying theory, and also the parallelization and coarse-graining numerical algorithms that help speed up simulations. The model addresses the issue of imbalanced forces and moments arising as an artefact of the modified boundary problem associated with the traction free boundary condition. To illustrate applications of the method, we explore the dynamic evolution of an ensemble of interacting dislocation loops of various size and with different Burgers vectors, which proves the feasibility of performing large-scale simulations using the proposed model.

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