Establishment and Application of Stochastic Mesoscopic Concrete Model
Concrete is a kind of complex multiphase composite material, and the spatial distribution of each component of concrete is random, which has an impact on its physical and mechanical properties. This paper presents algorithms for generating two-dimensional (2D) and three-dimensional (3D) arbitrarily...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2022-01-01
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| Series: | Advances in Civil Engineering |
| Online Access: | http://dx.doi.org/10.1155/2022/5918272 |
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| author | Shufang Wang Xiaoliang Zhai Yangyang Gao Jialu Li Wei Hu |
| author_facet | Shufang Wang Xiaoliang Zhai Yangyang Gao Jialu Li Wei Hu |
| author_sort | Shufang Wang |
| collection | DOAJ |
| description | Concrete is a kind of complex multiphase composite material, and the spatial distribution of each component of concrete is random, which has an impact on its physical and mechanical properties. This paper presents algorithms for generating two-dimensional (2D) and three-dimensional (3D) arbitrarily graded stochastic concrete aggregate models, graphical format conversion methods, and finite element applications. Aggregate shapes include circular, ellipsoidal, convex polygon, ellipsoidal, and spherical. These models take into account the randomness of appearance, position distribution, and particle size distribution, including the interface transition zone, and the aggregate content can reach a high level. An efficient interference algorithm of ellipsoidal aggregate is proposed, which can reasonably control the thickness of the mortar layer around the aggregate. The corresponding program is compiled by MATLAB to realize the generation of random mesoscopic concrete aggregate geometric model. A graphic format conversion method is provided, which greatly extends the applicability and generality of the random aggregation model. The usefulness of the method in this paper was verified by the mechanical analysis of random aggregate model specimens with different volume fractions and the chloride transport properties of different aggregate shape specimens. In addition, the results of the two cases show that the random aggregate geometry and aggregate content have a great impact on the physical and mechanical properties of concrete, and the randomness of the spatial distribution of aggregates makes the chloride ion transport path and the elastic modulus and Poisson’s ratio of concrete be random. The results of this paper can provide an important research foundation for the study of mesoscopic physical and mechanical properties, gradation theory, and durability of concrete. |
| format | Article |
| id | doaj-art-c2e72fc7af8f4019a30f3f8cd61221ea |
| institution | Kabale University |
| issn | 1687-8094 |
| language | English |
| publishDate | 2022-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Civil Engineering |
| spelling | doaj-art-c2e72fc7af8f4019a30f3f8cd61221ea2025-02-03T05:57:22ZengWileyAdvances in Civil Engineering1687-80942022-01-01202210.1155/2022/5918272Establishment and Application of Stochastic Mesoscopic Concrete ModelShufang Wang0Xiaoliang Zhai1Yangyang Gao2Jialu Li3Wei Hu4School of Architecture and Art DesignBridge Design InstituteThe Engineering Design Academy of Chang’an UniversitySchool of Civil EngineeringShaanxi Provincial Transport Planning Design and Research InstituteConcrete is a kind of complex multiphase composite material, and the spatial distribution of each component of concrete is random, which has an impact on its physical and mechanical properties. This paper presents algorithms for generating two-dimensional (2D) and three-dimensional (3D) arbitrarily graded stochastic concrete aggregate models, graphical format conversion methods, and finite element applications. Aggregate shapes include circular, ellipsoidal, convex polygon, ellipsoidal, and spherical. These models take into account the randomness of appearance, position distribution, and particle size distribution, including the interface transition zone, and the aggregate content can reach a high level. An efficient interference algorithm of ellipsoidal aggregate is proposed, which can reasonably control the thickness of the mortar layer around the aggregate. The corresponding program is compiled by MATLAB to realize the generation of random mesoscopic concrete aggregate geometric model. A graphic format conversion method is provided, which greatly extends the applicability and generality of the random aggregation model. The usefulness of the method in this paper was verified by the mechanical analysis of random aggregate model specimens with different volume fractions and the chloride transport properties of different aggregate shape specimens. In addition, the results of the two cases show that the random aggregate geometry and aggregate content have a great impact on the physical and mechanical properties of concrete, and the randomness of the spatial distribution of aggregates makes the chloride ion transport path and the elastic modulus and Poisson’s ratio of concrete be random. The results of this paper can provide an important research foundation for the study of mesoscopic physical and mechanical properties, gradation theory, and durability of concrete.http://dx.doi.org/10.1155/2022/5918272 |
| spellingShingle | Shufang Wang Xiaoliang Zhai Yangyang Gao Jialu Li Wei Hu Establishment and Application of Stochastic Mesoscopic Concrete Model Advances in Civil Engineering |
| title | Establishment and Application of Stochastic Mesoscopic Concrete Model |
| title_full | Establishment and Application of Stochastic Mesoscopic Concrete Model |
| title_fullStr | Establishment and Application of Stochastic Mesoscopic Concrete Model |
| title_full_unstemmed | Establishment and Application of Stochastic Mesoscopic Concrete Model |
| title_short | Establishment and Application of Stochastic Mesoscopic Concrete Model |
| title_sort | establishment and application of stochastic mesoscopic concrete model |
| url | http://dx.doi.org/10.1155/2022/5918272 |
| work_keys_str_mv | AT shufangwang establishmentandapplicationofstochasticmesoscopicconcretemodel AT xiaoliangzhai establishmentandapplicationofstochasticmesoscopicconcretemodel AT yangyanggao establishmentandapplicationofstochasticmesoscopicconcretemodel AT jialuli establishmentandapplicationofstochasticmesoscopicconcretemodel AT weihu establishmentandapplicationofstochasticmesoscopicconcretemodel |