硅酸盐通报2024，Vol.43Issue(7)：2490-2502,13.
机器学习模型评估裹浆改性再生骨料形态特征及分布规律
Morphology Characteristics and Distribution Patterns of Slurry-Modified Recycled Aggregate Evaluated by Machine Learning
摘要
Abstract
The defects such as high water absorption,high pressure crushing value,surface microcracks and irregular morphology of recycled aggregate(RA)limit its recycling and utilization.The shell film structure formed on the surface of slurry-modified recycled aggregate(SRA)not only improves the mechanical properties of RA,but also has a significant impact on morphological characteristics of RA.In order to evaluate the effect of slurry-modified on morphological characteristics of RA,this study used fly ash based polymer slurry to modify recycled concrete aggregates(RCA)and recycled brick aggregates(RBA),and obtained and established datasets of morphological characteristics of RCA and RBA before and after slurry-modified using image processing technology.In addition,the article also combined machine learning techniques to extract key information from the dataset,thereby quantifying the morphological features of RA.After quantitative analysis,it is found that compared with before modification,the distribution range of axial coefficient,angularity,and sphericity of modified RA has been improved to varying degrees.Among them,slurry-modification has the most significant effect on improving angularity.The maximum improvement amplitude of slurry-modified recycled concrete aggregate(SRCA)is 132.2％,and the maximum improvement amplitude of slurry-modified recycled brick aggregate(SRBA)is 69.2％.关键词
再生骨料/裹浆改性/形态特征参数量化/形态特征参数分布/机器学习Key words
recycled aggregate/slurry-modification/quantification of morphological characteristic/distribution of morphological characteristic/machine learning分类
建筑与水利引用本文复制引用
张嘉豪,陈正发,宋艳,陈昭言..机器学习模型评估裹浆改性再生骨料形态特征及分布规律[J].硅酸盐通报,2024,43(7):2490-2502,13.基金项目
常州大学人才引进项目(ZMF18020312) （ZMF18020312）
