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基于孔隙分级的再生混凝土抗压强度或弹性模量定量表征模型研究

Research on Quantitative Characterization Model of Compressive Strength or Elastic Modulus of Recycled Concrete Based on Pore Grading.

作者信息

Xu Fuwei, Pan Hongke

机构信息

School of Architecture and Engineering, Hubei University of Arts and Sciences, Xiangyang 441053, China.

College of Architecture and Engineering, Xinyu University, Xinyu 338004, China.

出版信息

Materials (Basel). 2024 Dec 24;18(1):3. doi: 10.3390/ma18010003.

Abstract

The influence of different pore sizes on the compressive strength and elastic modulus of recycled concrete is an important issue in the academic circle. Aiming at this problem, a quantitative characterization model of the compressive strength and elastic modulus of recycled concrete based on pore grading was established in this paper. The compressive strength, elastic modulus, porosity and distribution of pore size of recycled concrete were measured by a concrete test and nuclear magnetic resonance technology, and the influences of different pore sizes on the compressive strength and elastic modulus of recycled concrete were analyzed, and the rationality of the quantitative characterization model was verified. The results showed that the compressive strength and elastic modulus of recycled concrete decreased with the increase in the recycled coarse aggregate replacement rate, and the decrease was more obvious with the increase in the substitution rate. The peak pore diameter in the distribution curve of porosity and pore diameter of recycled concrete increased, and the proportion of pore diameter above 50200 nm and 200 nm also increased. The pore sizes, including those below 20 nm and 2050 nm, had a positive correlation with the compressive strength and elastic modulus of recycled concrete, while the pore sizes, including those above 50~200 nm and 200 nm, had a negative correlation with the compressive strength and elastic modulus of recycled concrete. The test results of recycled concrete verify that the quantitative characterization model could better characterize the compressive strength and elastic modulus of recycled concrete.

摘要

不同孔径对再生混凝土抗压强度和弹性模量的影响是学术界的一个重要问题。针对这一问题,本文建立了基于孔隙分级的再生混凝土抗压强度和弹性模量定量表征模型。通过混凝土试验和核磁共振技术测定了再生混凝土的抗压强度、弹性模量、孔隙率和孔径分布,分析了不同孔径对再生混凝土抗压强度和弹性模量的影响,并验证了定量表征模型的合理性。结果表明,再生混凝土的抗压强度和弹性模量随再生粗骨料取代率的增加而降低,且随着取代率的增加,降低更为明显。再生混凝土孔隙率与孔径分布曲线中的峰值孔径增大,50200nm及200nm以上孔径的比例也增大。20nm以下和2050nm的孔径与再生混凝土的抗压强度和弹性模量呈正相关,而50~200nm及200nm以上的孔径与再生混凝土的抗压强度和弹性模量呈负相关。再生混凝土的试验结果验证了该定量表征模型能够较好地表征再生混凝土的抗压强度和弹性模量。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9328/11721034/49ab35d43b46/materials-18-00003-g001.jpg

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