Random aggregate model for mesoscopic structures and mechanical analysis of fully-graded concrete

Ma, Hao; Xu, Wenxiang; Yun-cheng, LI

doi:10.1016/j.compstruc.2016.09.005

Cited by 189 publications

(43 citation statements)

References 34 publications

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“…Because of the piecewise property of the shape function, F int ghost reaches its maximum at node k, which is the nearest node on the computational mesh to material point k. In the node-duplicating scheme of the traditional FEM [5,34], the node k has to be duplicated and separated in order to generate a crack.…”

Section: Stochastic Constitutive Model Used In Mpmmentioning

confidence: 99%

“…Please note that, in most of the existing studies [1,3,[5][6][7]34], the heterogeneity at mesoscale is considered by generating numerical specimens with randomly distributed aggregates and ITZs. In this study, with the incorporation of Weibull distribution, the heterogeneity at a smaller scale is considered; that is, the mortar itself is also heterogeneous and so is the ITZ.…”

Section: Stochastic Constitutive Model Used In Mpmmentioning

confidence: 99%

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Numerical Simulation of Mesodamage Behavior of Concrete Based on Material Point Method

Liu

Zou

et al. 2020

Advances in Civil Engineering

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Concrete consists of coarse aggregates, mortar matrix, and interfacial transition zone (ITZ) between them at the mesoscale. Considering these three phases, many numerical tests have been conducted to study the mesodamage behavior of concrete, in which a variety of numerical methods have also been adopted. These methods are mainly based on the finite element method (FEM); however, some other methods have been proven to be helpful as well. For example, the material point method (MPM) has the advantage of building a numerical model based on pixel or voxel of the image and is capable of solving large deformation problems. In view of this, MPM is introduced in this paper. Firstly, a method for establishing the numerical specimen is put forward, considering the original sample of its mesoscopic geometric character. Then, a stochastic damage constitutive model considering the heterogeneity of the concrete is proposed. Next, the numerical model and the constitutive model are incorporated into an MPM code to conduct numerical tests. The uniaxial tension and compression tests of a random-aggregate model and a double-aggregate specimen under uniaxial tension are then simulated numerically to validate the proposed method. Results show that the proposed method can well capture the main macroscopic mechanical behavior of concrete and the mesoscopic damage initiation and propagation. It is also found that MPM can save the time of model establishing and improve calculation efficiency. The influences of different parameters of the proposed constitutive model are also clarified through a parametric study. The proposed method can provide a useful tool for concrete numerical testing and for studying the mechanical behavior of concrete at mesoscale.

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Section: Stochastic Constitutive Model Used In Mpmmentioning

confidence: 99%

Section: Stochastic Constitutive Model Used In Mpmmentioning

confidence: 99%

Numerical Simulation of Mesodamage Behavior of Concrete Based on Material Point Method

Liu

Zou

et al. 2020

Advances in Civil Engineering

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“…The -7 -size distribution of aggregates is determined by given grading curve from sieve analysis. In the numerical analysis of concrete at the meso-scale level, it is common to use an optimal gradation initially proposed by the Fuller for the aggregate size distribution (Li et al 2016;Ma et al 2016;Wang et al 2015).…”

Section: Meso-scale Structure Of Concretementioning

confidence: 99%

A Probabilistic Study on Hydraulic Conductivity of Concrete at Mesoscale

Baji

Yang³

2018

ACI Materials Journal

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Hydraulic conductivity of concrete can be used as a key indicator in assessment of service life of concrete structures. In this paper, a probabilistic investigation on hydraulic conductivity of concrete is conducted, allowing for variation in hydraulic properties of concrete constituents. Concrete is modeled as a three-phase composite at meso-scale, consisting of mortar, aggregates and the Interfacial Transition Zone (ITZ). A Finite Element (FE) method is developed to calculate the hydraulic conductivity of concrete, which is then verified using available experimental results. Based on a large pool of samples generated from Monte Carlo simulation, a conceptual model relating hydraulic conductivity of concrete to aggregate volume fraction ratio and hydraulic conductivity of mortar and the ITZ is proposed. It is shown from the probabilistic-based sensitivity analysis that hydraulic conductivity and thickness of the ITZ are amongst the most influential factors affecting the bulk hydraulic conductivity of concrete. It is also shown that for high aggregate volume fraction ratios, due to increasing volume of the ITZ, the coefficient of variation of hydraulic conductivity can be as high as 0.36.

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“…Wittmann et al [1] presented the random distributed geometry of the natural aggregates model including round and polygon to investigate the effective properties, e.g., the diffusion coefficient and the modulus of elasticity of concrete material. e methods for generating polygon or polyhedron aggregate can be concluded as two types: one was generated new vertices and surfaces from the surroundings of a convex matrix until the requirement was satisfied [18,33,34] and the other was using a Delaunay triangulation which divided the available space into separate areas.…”

Section: Introductionmentioning

confidence: 99%

Mesoscopic Numerical Simulation of Fracture Process and Failure Mechanism of Concrete Based on Convex Aggregate Model

Peng

Chen

Ying

et al. 2019

Advances in Materials Science and Engineering

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To investigate the fracture process and failure mechanism of concrete subjected to uniaxial compressive loading, a new finite element method-the base force element method (BFEM)-was adopted in the modeling of numerical simulation. At mesoscale, concrete is considered as a three-phase heterogeneous material composed of aggregate particles, cement mortar, and the interfacial transition zones between the two phases. A two-dimensional random convex aggregate model was established using the principle of the area equivalence method. A multistage linear damage constitutive model that can describe nonlinear behavior of concrete under mechanical stress was proposed. e mechanical properties of concrete mesoscopic components are determined. e numerical simulation results indicate that the base force element method can be applied to predict the failure pattern of concrete under compressive loading, which have a good accordance with the available experiment data. e stress contour plots were given and used to analyze the failure mechanism of concrete. e effects of specimen size on the strength of concrete material were studied. It is found that compressive strength of concrete decreases as the specimen size increases. In addition, the influences of aggregate distribution, coarse aggregate content, and end friction on concrete performance are explored.

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Random aggregate model for mesoscopic structures and mechanical analysis of fully-graded concrete

Cited by 189 publications

References 34 publications

Numerical Simulation of Mesodamage Behavior of Concrete Based on Material Point Method

Numerical Simulation of Mesodamage Behavior of Concrete Based on Material Point Method

A Probabilistic Study on Hydraulic Conductivity of Concrete at Mesoscale

Mesoscopic Numerical Simulation of Fracture Process and Failure Mechanism of Concrete Based on Convex Aggregate Model

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