Crack propagation in quasi-brittle materials by fourth-order phase-field cohesive zone model

TL;DR

This paper introduces a fourth-order phase-field model combined with a cohesive zone model to accurately and efficiently predict crack propagation in quasi-brittle materials, improving convergence and solution precision over existing methods.

Contribution

The study develops a novel fourth-order phase-field approach integrated with a cohesive zone model for quasi-brittle materials, enhancing computational efficiency and accuracy.

Findings

Peak load and crack path are independent of element size.

Model is insensitive to the length-scale number.

Proposed method outperforms standard phase-field in cost and accuracy.

Abstract

A phase-field approach becomes a more popular candidate in modeling crack propagation. It uses a scalar auxiliary variable, namely a phase-field variable, to model a discontinuity zone in a continuity domain. Furthermore, the fourth-order phase-field approach produces a better convergence rate and more accurate solutions than the second-order one. However, it is available for modeling crack propagation in brittle material. This study addresses the fourth-order phase-field model combining the non-standard phase-field form with a cohesive zone model (CZM) to predict crack propagation in quasi-brittle material. A Cornelisson's softening law is used to capture the high precision of crack propagation prediction. The concrete material is considered as a quasi-brittle one. For computation efficiency using NURBS-based finite elements, Virtual Uncommon-Knot-Inserted Master-Slave (VUKIMS) technique is employed to derive a local refinement mesh. Numerical results are verified by the published ones from literature. It was found that the peak load and crack path are independent of the element size and insensitive to the length-scale number using the fourth-order phase-field CZM. Our proposed model shows the most significant advantage compared to the standard phase-field approach in terms of computational cost and solution accuracy.