Meso-Analysis of Recycled Coarse Aggregate Self-Compacting Concrete on the Basis of Random Aggregate Model

The purpose of this paper is to explore the numerical simulation of damage process and results of a new environmentally friendly material, recycled coarse aggregate self-compacting concrete (RCASCC). Random aggregate model of mesoscopic viewpoint was used for the experimental simulation of RCASCC. R...

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Main Authors: Songpu Gao, Qing Liu, Fengxia Han, Zhongyan Guo, Jianping Yang, Jianwei Ren
Format: Article
Language:English
Published: Wiley 2022-01-01
Series:Advances in Materials Science and Engineering
Online Access:http://dx.doi.org/10.1155/2022/3336003
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author Songpu Gao
Qing Liu
Fengxia Han
Zhongyan Guo
Jianping Yang
Jianwei Ren
author_facet Songpu Gao
Qing Liu
Fengxia Han
Zhongyan Guo
Jianping Yang
Jianwei Ren
author_sort Songpu Gao
collection DOAJ
description The purpose of this paper is to explore the numerical simulation of damage process and results of a new environmentally friendly material, recycled coarse aggregate self-compacting concrete (RCASCC). Random aggregate model of mesoscopic viewpoint was used for the experimental simulation of RCASCC. Results show that the specimens with 50% substitution rate exhibited the best performance among the specimens (i.e., with rates of 25%, 50%, 75%, and 100%). The stress-strain curves after dimensionless treatment were fitted using the uniaxial compressive principal equation of concrete with control parameters a = 0.9 and b = 11, and the fitting degree of the curve was relatively good. Meanwhile, the change process of internal cracking was shown intuitively. The crack expansion process became more obvious in the specimens and beams with a high substitution rate of RCA. The simulation results of the bending process of RCASCC beams analyzed by the concrete damaged plasticity (CDP) model and extended finite element (XFEM) were compared with the test results. Both simulation results validated the applicability of the CDP model and XFEM in the mechanical tests of RCASCC and can provide valuable reference for future research on the mechanical properties of recycled aggregate self-compacting concrete.
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issn 1687-8442
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publishDate 2022-01-01
publisher Wiley
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series Advances in Materials Science and Engineering
spelling doaj-art-a2640919ef4f4843b5ef31a72471c66d2025-02-03T05:53:29ZengWileyAdvances in Materials Science and Engineering1687-84422022-01-01202210.1155/2022/3336003Meso-Analysis of Recycled Coarse Aggregate Self-Compacting Concrete on the Basis of Random Aggregate ModelSongpu Gao0Qing Liu1Fengxia Han2Zhongyan Guo3Jianping Yang4Jianwei Ren5College of Architectural and Civil EngineeringCollege of Architectural and Civil EngineeringCollege of Architectural and Civil EngineeringCollege of Architectural and Civil EngineeringCheng’erxin Engineering Testing Co. LTDCheng’erxin Engineering Testing Co. LTDThe purpose of this paper is to explore the numerical simulation of damage process and results of a new environmentally friendly material, recycled coarse aggregate self-compacting concrete (RCASCC). Random aggregate model of mesoscopic viewpoint was used for the experimental simulation of RCASCC. Results show that the specimens with 50% substitution rate exhibited the best performance among the specimens (i.e., with rates of 25%, 50%, 75%, and 100%). The stress-strain curves after dimensionless treatment were fitted using the uniaxial compressive principal equation of concrete with control parameters a = 0.9 and b = 11, and the fitting degree of the curve was relatively good. Meanwhile, the change process of internal cracking was shown intuitively. The crack expansion process became more obvious in the specimens and beams with a high substitution rate of RCA. The simulation results of the bending process of RCASCC beams analyzed by the concrete damaged plasticity (CDP) model and extended finite element (XFEM) were compared with the test results. Both simulation results validated the applicability of the CDP model and XFEM in the mechanical tests of RCASCC and can provide valuable reference for future research on the mechanical properties of recycled aggregate self-compacting concrete.http://dx.doi.org/10.1155/2022/3336003
spellingShingle Songpu Gao
Qing Liu
Fengxia Han
Zhongyan Guo
Jianping Yang
Jianwei Ren
Meso-Analysis of Recycled Coarse Aggregate Self-Compacting Concrete on the Basis of Random Aggregate Model
Advances in Materials Science and Engineering
title Meso-Analysis of Recycled Coarse Aggregate Self-Compacting Concrete on the Basis of Random Aggregate Model
title_full Meso-Analysis of Recycled Coarse Aggregate Self-Compacting Concrete on the Basis of Random Aggregate Model
title_fullStr Meso-Analysis of Recycled Coarse Aggregate Self-Compacting Concrete on the Basis of Random Aggregate Model
title_full_unstemmed Meso-Analysis of Recycled Coarse Aggregate Self-Compacting Concrete on the Basis of Random Aggregate Model
title_short Meso-Analysis of Recycled Coarse Aggregate Self-Compacting Concrete on the Basis of Random Aggregate Model
title_sort meso analysis of recycled coarse aggregate self compacting concrete on the basis of random aggregate model
url http://dx.doi.org/10.1155/2022/3336003
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