The Impact of Fractal Gradation of Aggregate on the Mechanical and Durable Characteristics of Recycled Concrete

Author:

Quan Chang-Qing1,Jiao Chu-Jie1,Chen Wei-Zhi1,Xue Zhi-Cheng2,Liang Rui3,Chen Xue-Fei14

Affiliation:

1. School of Civil Engineering, Guangzhou University, Guangzhou 510006, China

2. Architecture and Civil Engineering Institute, Guangdong University of Petrochemical Technology, Maoming 525000, China

3. Zhuhai UM Science &Technology Research Institute, Zhuhai 519031, China

4. Joint Key Laboratory of the Ministry of Education, Institute of Applied Physics and Materials Engineering, University of Macau, Avenida da Universidade, Taipa, Macau SAR 999078, China

Abstract

Properties of recycled aggregate concrete (RAC) are influenced by the composition and particle size distribution of recycled coarse aggregate (RCA). The study herein designed seven distinct groups of RACs with varying aggregate fractal dimensions (D) and one group of natural concrete (NAC). The impact of D on the workability, compressive strength, resistance to chloride ion penetration, and carbonation resistance of RAC was measured. It was found that an increase in the D value led to a decrease in the slump and slump flow, with the compressive strength and chloride ion penetration increasing and then decreasing, and carbonation gradually declined. The optimal fractal dimension was thereby determined to be 2.547 by a strength model accommodating two parameters of D and the curing age. Additionally, the mass percentage of each particle size for the corresponding gradation was presented. The compressive strength and chloride permeation resistance of RAC (D = 1.0) relative to RAC (D = 2.5) was increased by 16.7% and 13.3%, respectively. Furthermore, the carbonation depth of RAC (D = 2.5) was comparable to that of NAC. Additionally, the carbonation resistance of RAC was influenced by both the size distribution and the degree of natural carbonation of RCA, resulting in four distinct features relative to NAC. It is thereby feasible to enhance RAC performance through the manipulation of RCA’s fractal dimensions.

Funder

National Natural Science Foundation of China

Characteristic Innovation Project of Colleges and Universities in Guangdong Province

Basic Research Program (Municipality-University joint fund) of Science and Technology Bureau of Guangzhou

Special Research Projects in Key Areas for Colleges and Universities in Guangdong Province

Natssural Science Foundation of Guangdong Province, China

Tertiary Education Scientific Research Project of Guangzhou Municipal Education Bureau

Zhuhai Municipal Science and Technology Planning Project in the Field of Social Development

Intramural Research Program of Guangzhou University

China Postdoctoral Science Foundation

Natural Science Foundation of Fujian

Engineering Research Center of Disaster Prevention and Mitigation of Southeast Coastal Engineering Structures of Fujian Province University

Publisher

MDPI AG

Subject

Statistics and Probability,Statistical and Nonlinear Physics,Analysis

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