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Abstract
In order to simulate the fracture process of particle-reinforced materials on the micro-scale, an image-based double-smoothing cohesive finite element framework is proposed in the present paper. Two separate smoothing processes are performed to reduce the noise in the digital image and eliminate the jagged elements in the finite element mesh. The main contribution of the present study is the proposed novel image-based cohesive finite element framework, and this method improved the quality of the meshes effectively. Meanwhile, the artificial resistance due to the jagged element is reduced with the double-smoothing cohesive finite element framework during the crack propagation. Therefore, the image-based double-smoothing cohesive finite element framework is significant for the simulation of fracture mechanics.
Highlights
Particle-reinforced materials, such as concretes, particle metal matrix composites, polymer binder explosives, and dispersion nuclear fuel, are widely used in engineering applications as an expanded new category of materials. [1,2,3]
Two independent smoothing processes are performed the rough meshes in the pixel/voxel-based reconstruction method
The comparison between the to repair the rough meshes in the pixel/voxel-based reconstruction method
Summary
Particle-reinforced materials, such as concretes, particle metal matrix composites, polymer binder explosives, and dispersion nuclear fuel, are widely used in engineering applications as an expanded new category of materials. [1,2,3]. How to reconstruct the real microstructure of the particle-reinforced materials is a common challenge in the cohesive finite element framework. To elaborate the microstructures of these materials, many researchers develop reconstruction methods to generate finite element (FE) meshes from digital images. In the pixel/voxel-based method[11,14,15,16], elements are generated directly and automatically by mapping pixels/voxels in the digital image[19,20].
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