Two-dimensional simulations of concrete fracture at aggregate level with cohesive elements based on X-ray μCT images

Trawiński, W.; Bobiński, Jerzy; Tejchman, J.

doi:10.1016/j.engfracmech.2016.09.012

Cited by 100 publications

(36 citation statements)

References 52 publications

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“…To elaborate the microstructures of these materials, many researchers develop reconstruction methods to generate finite element (FE) meshes from digital images. [4][5][6][7][8][9][10][11][12][13][14][15][16][17]. Mainly, these reconstruction methods can be classified into two categories [18]: based on geometry and pixel method.…”

Section: Introductionmentioning

confidence: 99%

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An Image-Based Double-Smoothing Cohesive Finite Element Framework for Particle-Reinforced Materials

Bai

Xie

et al. 2020

Mathematics

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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.

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Section: Introductionmentioning

confidence: 99%

“…In the geometry-based method [12,13,17], there are two steps to reconstruct the FE mesh from digital images. Firstly, different components of material (e.g., particles and matrix) are segmented and the corresponding geometric models (body or surface) are generated using commercial software or in-house program.…”

Section: Introductionmentioning

confidence: 99%

An Image-Based Double-Smoothing Cohesive Finite Element Framework for Particle-Reinforced Materials

Bai

Xie

et al. 2020

Mathematics

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“…The cohesive zone model has been frequently adopted in the simulation of the concrete failure problem and proved to be feasible in concrete tension fracture simulation [23][24][25][26][27][28]. However, very few studies report its application in concrete compression simulation, which has a more complex damage evolution in the fracture process [29].…”

Section: Introductionmentioning

confidence: 99%

Meso-Scale Simulation of Concrete Based on Fracture and Interaction Behavior

Xiong

Xiao

2019

Applied Sciences

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Based on the cohesive zone model, a meso-scale model is developed for numerical studies of three-phase concrete under tension and compression. The model is characterized by adopting mixed-mode fracture and interaction behavior to describe fracture, friction and collision in tension and compression processes. The simulation results match satisfactorily with the experimental results in both mechanical characteristics and failure mode. Whole deformation and crack propagation process analyses are conducted to reveal damage evolution of concrete. The analyses also set a foundation for the following parametric studies in which mode II fracture energy, material parameter, frictional angle and aggregates’ mechanical characteristics are considered as variables. It shows that the mixed-mode fracture accounts for a considerable proportion, even in tension failure. Under compression, the frictional stress can constrain crack propagation at the beginning of the damage and reestablish loading path during the softening stage. Aggregates’ mechanical characteristics mainly affect concrete’s performance in the mid-and-late softening stage.

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“…Therefore, it is of great importance to understand evolution behaviors of cracks. Recently, digital image analysis techniques (DIATs) based on X-ray computed tomography (CT) imaging are introduced to geotechnical engineering, 3,4 which provide an effective way to better understand the cracking behaviors and failure process of geomaterials under various stress loading conditions. [5][6][7][8] For example, Sun et al explored the patterns of porosity evolution during the bearing failure of cement paste backfill subjected to uniaxial compression, 9 Takano et al investigated the deformation and the failure of a soil under triaxial compression using in-situ X-ray CT images and digital image correlation.…”

Section: Introductionmentioning

confidence: 99%

Digital measurement of 2D and 3D cracks in sandstones through improved pseudo color image enhancement and 3D reconstruction method

Zhao

Zhou

2019

Num Anal Meth Geomechanics

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An integrated approach of improved pseudo color image enhancement (IPCE) method and three-dimensional (3D) reconstruction technology is proposed.The evolution characteristics of two-dimensional (2D) and 3D spatial cracks in X-ray computed tomography (CT) images of sandstones subjected to triaxial compression with confining pressure of 10, 20, and 30 MPa are investigated.The equations of crack width, length, and dip angle are established based on the proposed digital damage ratio. Based on the pseudo color images, point cloud maps with roughness and spatial images of cracks are investigated. The numerical results show that this proposed method is effective to study and understand the fracturing properties of rocks. KEYWORDS3D reconstruction, digital damage ratio, improved pseudo color image enhancement algorithm, triaxial compression test, X-ray CT images

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Two-dimensional simulations of concrete fracture at aggregate level with cohesive elements based on X-ray μCT images

Cited by 100 publications

References 52 publications

An Image-Based Double-Smoothing Cohesive Finite Element Framework for Particle-Reinforced Materials

An Image-Based Double-Smoothing Cohesive Finite Element Framework for Particle-Reinforced Materials

Meso-Scale Simulation of Concrete Based on Fracture and Interaction Behavior

Digital measurement of 2D and 3D cracks in sandstones through improved pseudo color image enhancement and 3D reconstruction method

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