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Hybrid phase-field modeling of mesoscopic failure in concrete combined with Fourier-Voronoi stochastic aggregate distribution modelling approach
Graphical abstract Display Omitted
Highlights A combined method for the mesoscopic failure simulation in concrete has been presented, which is combined with (1) the stochastic aggregate distribution modelling approach based on morphological characteristics of real concrete, and (2) the finite element treatment for hybrid phase-field modeling. The case study of concrete specimen under tensile loading proves the effectiveness of application of phase-field method in computation of the crack propagation of concrete. The increasing of aggregate fraction θ leads to the nonlinear growth of the concrete tensile strength. While, the effect of aggregate fraction θ on shear strength of concrete can be classified into two Modes, depending on whether the interact of aggregates occurs during the crack propagation. The shear strength of concrete is twice higher during the interact of aggregates (Mode I) than that in case of no-interact (Mode II). As the elongation of aggregate raises, the probability of shear fracture Mode I increases, which leads to the improvement of the shear strength of concrete. While, the elongation and surface roughness of aggregates have little effect on the tensile strength of concrete. In the case of tension failure and Mode II shear failure, the strength of the structure decreases as the pre-notch deepens. However, the depth of the pre-notch is not directly proportional to the structural shear strength in the case of Mode I shear failure, due to the effect of the pre-notch on the crack propagation path.
Abstract Concrete crack propagation is significantly affected by its complex mesoscopic structure, tracking which is of great importance for revealing the fracture failure modes and crack propagation patterns of concrete. This study presents a stochastic aggregate distribution modeling approach combining the Fourier-Voronoi method and techniques with XCT images. it enables the generation of stochastic aggregate distribution models that mimic real concrete's morphological characteristics. Meanwhile, with the hybrid phase-field theory and finite element method, a multi-field coupling model is established to simulate the crack propagation. In contrast to the isotropic or anisotropic phase-field theory, with the hybrid phase-field theory the stiffness degradation of concrete material in all directions during crack propagation are taken into consideration. With the proposed methodology, the effects of volume fraction, shape, roughness and pre-notch depth on the fracture behavior and strength of concrete are investigated. Results show that both the tensile and shear strength of concrete grows with the increase of aggregate volume fraction. Benefited from the application of hybrid phase-field theory, two shear fracture failure modes of concrete with distinct shear strengths are revealed, influenced by aggregate interaction during the shear fracture process.
Hybrid phase-field modeling of mesoscopic failure in concrete combined with Fourier-Voronoi stochastic aggregate distribution modelling approach
Graphical abstract Display Omitted
Highlights A combined method for the mesoscopic failure simulation in concrete has been presented, which is combined with (1) the stochastic aggregate distribution modelling approach based on morphological characteristics of real concrete, and (2) the finite element treatment for hybrid phase-field modeling. The case study of concrete specimen under tensile loading proves the effectiveness of application of phase-field method in computation of the crack propagation of concrete. The increasing of aggregate fraction θ leads to the nonlinear growth of the concrete tensile strength. While, the effect of aggregate fraction θ on shear strength of concrete can be classified into two Modes, depending on whether the interact of aggregates occurs during the crack propagation. The shear strength of concrete is twice higher during the interact of aggregates (Mode I) than that in case of no-interact (Mode II). As the elongation of aggregate raises, the probability of shear fracture Mode I increases, which leads to the improvement of the shear strength of concrete. While, the elongation and surface roughness of aggregates have little effect on the tensile strength of concrete. In the case of tension failure and Mode II shear failure, the strength of the structure decreases as the pre-notch deepens. However, the depth of the pre-notch is not directly proportional to the structural shear strength in the case of Mode I shear failure, due to the effect of the pre-notch on the crack propagation path.
Abstract Concrete crack propagation is significantly affected by its complex mesoscopic structure, tracking which is of great importance for revealing the fracture failure modes and crack propagation patterns of concrete. This study presents a stochastic aggregate distribution modeling approach combining the Fourier-Voronoi method and techniques with XCT images. it enables the generation of stochastic aggregate distribution models that mimic real concrete's morphological characteristics. Meanwhile, with the hybrid phase-field theory and finite element method, a multi-field coupling model is established to simulate the crack propagation. In contrast to the isotropic or anisotropic phase-field theory, with the hybrid phase-field theory the stiffness degradation of concrete material in all directions during crack propagation are taken into consideration. With the proposed methodology, the effects of volume fraction, shape, roughness and pre-notch depth on the fracture behavior and strength of concrete are investigated. Results show that both the tensile and shear strength of concrete grows with the increase of aggregate volume fraction. Benefited from the application of hybrid phase-field theory, two shear fracture failure modes of concrete with distinct shear strengths are revealed, influenced by aggregate interaction during the shear fracture process.
Hybrid phase-field modeling of mesoscopic failure in concrete combined with Fourier-Voronoi stochastic aggregate distribution modelling approach
Zhang, He (author) / Xu, Chengkan (author) / Zhou, Yuhui (author) / Shu, Jiangpeng (author) / Huang, Kangxu (author)
2023-06-07
Article (Journal)
Electronic Resource
English
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