NACENAMar 1, 2019

Recursive multilevel trust region method with application to fully monolithic phase-field models of brittle fracture

arXiv:1903.0037954 citationsh-index: 32
Originality Synthesis-oriented
AI Analysis

For researchers in computational fracture mechanics, this work provides a more efficient solver for phase-field fracture simulations, though it is an incremental improvement over existing multilevel and trust region methods.

The paper proposes a recursive multilevel trust region (RMTR) method to efficiently solve the non-convex constrained minimization problem arising in phase-field models of brittle fracture. Numerical examples in 3D demonstrate improved performance and convergence properties.

The simulation of crack initiation and propagation in an elastic material is difficult, as crack paths with complex topologies have to be resolved. Phase-field approach allows to simulate crack behavior by circumventing the need to explicitly model crack paths. However, the underlying mathematical model gives rise to a non-convex constrained minimization problem. In this work, we propose a recursive multilevel trust region (RMTR) method to efficiently solve such a minimization problem. The RMTR method combines the global convergence property of the trust region method and the optimality of the multilevel method. The solution process is accelerated by employing level dependent objective functions, minimization of which provides correction to the original/fine-level problem. In the context of the phase-field fracture approach, it is challenging to design efficient level dependent objective functions as the underlying mathematical model relies on the mesh dependent parameters. We introduce level dependent objective functions that combine fine level description of the crack path with the coarse level discretization. The overall performance and the convergence properties of the proposed RMTR method are investigated by means of several numerical examples in three dimensions.

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