An enhanced local damage model for 2D and 3D quasi-brittle fracture: ABAQUS-FEM implementation and comparative study on the effect of equivalent strains
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引用次数: 0
Abstract
In this paper, the initiation and propagation of cracks in quasi-brittle materials are characterized by an enhanced local damage model. The model is implemented using UMAT, an ABAQUS user-subroutine platform, for fracture in two- and three-dimensional media. As usual, the material state is represented by a damage parameter ranging from 0 (intact) to 1 (completed failure). Different from the conventional local damage models (Kachanov [1], 1999), (Lemaitre [2], 1985) both fracture energy and characteristic length of the element are incorporated into the calculation of the damage parameter, hence the inherent issue of mesh-dependency is mitigated. A comparative study on the effect of equivalent strain on the prediction of crack path as well as load–displacement curve under mixed-mode condition is conducted. For that purpose, three types of equivalent strain are adopted based on three models: the modified von Mises model, the Ottosen criterion model, and the new Mazars model (named after the work of Mazars et al., [3] (2015) in this paper). The accuracy and performance of the developed codes and proposed damage approach in association with the three types of equivalent strain are demonstrated by comparison of the computed results with experimental data as well as other numerical results reported in the literature. The experimental data is well-fit by the simulation results. A detailed description of implementation in UMAT subroutine is also provided. The source codes are provided for free, and users can amend them for their own purpose.
期刊介绍:
The objective of this journal is to communicate recent and projected advances in computer-based engineering techniques. The fields covered include mechanical, aerospace, civil and environmental engineering, with an emphasis on research and development leading to practical problem-solving.
The scope of the journal includes:
• Innovative computational strategies and numerical algorithms for large-scale engineering problems
• Analysis and simulation techniques and systems
• Model and mesh generation
• Control of the accuracy, stability and efficiency of computational process
• Exploitation of new computing environments (eg distributed hetergeneous and collaborative computing)
• Advanced visualization techniques, virtual environments and prototyping
• Applications of AI, knowledge-based systems, computational intelligence, including fuzzy logic, neural networks and evolutionary computations
• Application of object-oriented technology to engineering problems
• Intelligent human computer interfaces
• Design automation, multidisciplinary design and optimization
• CAD, CAE and integrated process and product development systems
• Quality and reliability.