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

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 ad...

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Main Authors: Aihua Liu, Jiaqiang Zou, Wei Hu, Ming Liu, Peitong Cong, Wei Zhang
Format: Article
Language:English
Published: Wiley 2020-01-01
Series:Advances in Civil Engineering
Online Access:http://dx.doi.org/10.1155/2020/9183253
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author Aihua Liu
Jiaqiang Zou
Wei Hu
Ming Liu
Peitong Cong
Wei Zhang
author_facet Aihua Liu
Jiaqiang Zou
Wei Hu
Ming Liu
Peitong Cong
Wei Zhang
author_sort Aihua Liu
collection DOAJ
description 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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spelling doaj-art-5883c085b4ce4c8cbb38a06322eaa9e92025-08-20T03:33:38ZengWileyAdvances in Civil Engineering1687-80861687-80942020-01-01202010.1155/2020/91832539183253Numerical Simulation of Mesodamage Behavior of Concrete Based on Material Point MethodAihua Liu0Jiaqiang Zou1Wei Hu2Ming Liu3Peitong Cong4Wei Zhang5College of Water Conservancy and Civil Engineering, South China Agricultural University, Guangzhou 510642, ChinaCollege of Water Conservancy and Civil Engineering, South China Agricultural University, Guangzhou 510642, ChinaCollege of Water Conservancy and Civil Engineering, South China Agricultural University, Guangzhou 510642, ChinaCollege of Water Conservancy and Civil Engineering, South China Agricultural University, Guangzhou 510642, ChinaCollege of Water Conservancy and Civil Engineering, South China Agricultural University, Guangzhou 510642, ChinaCollege of Water Conservancy and Civil Engineering, South China Agricultural University, Guangzhou 510642, ChinaConcrete 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.http://dx.doi.org/10.1155/2020/9183253
spellingShingle Aihua Liu
Jiaqiang Zou
Wei Hu
Ming Liu
Peitong Cong
Wei Zhang
Numerical Simulation of Mesodamage Behavior of Concrete Based on Material Point Method
Advances in Civil Engineering
title Numerical Simulation of Mesodamage Behavior of Concrete Based on Material Point Method
title_full Numerical Simulation of Mesodamage Behavior of Concrete Based on Material Point Method
title_fullStr Numerical Simulation of Mesodamage Behavior of Concrete Based on Material Point Method
title_full_unstemmed Numerical Simulation of Mesodamage Behavior of Concrete Based on Material Point Method
title_short Numerical Simulation of Mesodamage Behavior of Concrete Based on Material Point Method
title_sort numerical simulation of mesodamage behavior of concrete based on material point method
url http://dx.doi.org/10.1155/2020/9183253
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