再生骨料的颗粒形貌表征与特征参数统计分析

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Characterization of particle morphology and statistical analysis of characteristic parameters of recycled aggregate from waste concrete

期刊信息

合肥工业大学（自然科学版），2025年10月，第48卷第10期：1401-1410

DOI: 10.3969/j.issn.1003-5060.2025.10.016

作者信息

李涛 $ ^{1} $，董骜 $ ^{1} $，葛德宏 $ ^{1} $，刘祯平 $ ^{2} $，洪丽 $ ^{3,4} $，赵丹 $ ^{3,4} $

（1. 安徽省交控建设管理有限公司，安徽合肥 230041；2. 安徽建工路港建设集团有限公司，安徽合肥 230094；3. 合肥工业大学土木与水利工程学院，安徽合肥 230009；4. 安徽省水泥基材料低碳技术工程研究中心，安徽合肥 230009）

摘要和关键词

摘要: 文章获取0.60～1.18 mm、1.18～2.36 mm、2.36～4.75 mm、4.75～20.00 mm 4个粒段（粒段以实际情况划分）的300多颗再生骨料的三维形貌，从颗粒形状、棱角性和表面粗糙度3个维度统计再生骨料的形貌特征参数；通过各参数间独立性分析，揭示能独立表征再生骨料的颗粒形状、棱角性及粗糙度的特征参数，建立再生骨料颗粒形貌特征参数的概率分布函数，明确特征参数的分布范围。

关键词: 再生骨料；形状参数；棱角性参数；表面粗糙度；独立性分析；概率分布

Authors

LI Tao $ ^{1} $, DONG Ao $ ^{1} $, GE Dehong $ ^{1} $, LIU Zhenping $ ^{2} $, HONG Li $ ^{3,4} $, ZHAO Dan $ ^{3,4} $

(1. Anhui Transportation Holding Construction Management Co., Ltd., Hefei 230041, China; 2. Anhui Construction Engineering Road Port Construction Group Co., Ltd., Hefei 230094, China; 3. School of Civil and Hydraulic Engineering, Hefei University of Technology, Hefei 230009, China; 4. Anhui Province Engineering Research Center of Low-carbon Technology for Cement-based Materials, Hefei 230009, China)

Abstract and Keywords

Abstract: This paper obtained the 3D morphology of more than 300 pieces of recycled aggregates in four segments, namely, 0.60-1.18 mm, 1.18-2.36 mm, 2.36-4.75 mm, and 4.75-20.00 mm. The morphological characteristic parameters of the recycled aggregates were statistically analyzed across three scales: particle shape, angularity, and surface roughness. By conducting an independence analysis of the various parameters, the study identified the characteristic parameters that could independently represent the particle shape, angularity, and roughness of recycled aggregates. Probability distribution functions for these morphological characteristic parameters were established, defining their distribution ranges.

Keywords: recycled aggregate; shape parameter; angularity parameter; surface roughness; independence analysis; probability distribution

基金信息

国家重点研发计划资助项目（2020YFC1909901）

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