基于响应面法的机制砂路面混凝土配合比优化及其性能研究
Mix Proportion Optimization and Performance Study of Manufactured Sand Road Concrete Based on Response Surface Methodology
王慧斌 1崔通 1陈捷 1汪伟 2谭康豪 2杨东来 1张同生2
作者信息
- 1. 保利长大工程有限公司,广州 511430
- 2. 华南理工大学材料科学与工程学院,广州 510641
- 折叠
摘要
为实现多目标性能机制砂混凝土配合比设计,本文采用Box-Behnken响应面法进行试验设计,探究了石粉掺量、浆体体积分数及水胶比对机制砂路面混凝土性能(坍落度、28 d抗压强度和磨损量)的影响,并结合SEM和XRD对硬化浆体的微观结构进行了分析.结果表明,通过响应面法建立的回归模型能够精确预测各因素与性能之间的关系,精度达95％以上.在各因素中,水胶比对坍落度和抗压强度的影响最显著,而对磨损量的影响较小.经优化,得到最佳的机制砂路面混凝土配合比:水胶比0.36,浆体体积分数25％,石粉掺量10％(质量分数).此外,掺量不超过10％的石粉改善了界面过渡区,有助于提升混凝土的力学性能.
Abstract
To realize the mix proportion design of multi-objective performance of manufactured sand concrete,the Box-Behnken response surface methodology was used to design the experiment,and the effects of stone powder content,slurry volume fraction and water-binder ratio on slump,28 d compressive strength and wear loss of manufactured sand road concrete were studied.Micro-structure analysis of the hardened paste was conducted using scanning electron microscopy(SEM)and X-ray diffraction(XRD).The results demonstrate that the regression models established using the response surface methodology accurately predict the relationships between various factors and performance parameters,with an accuracy exceeding 95％.Among the factors considered,the water-binder ratio has the most significant impact on the slump and compressive strength,while its influence on the wear loss is relatively minor.Through optimization,the best mix proportion for manufactured sand road concrete is found to be a water-binder ratio of 0.36,a slurry volume fraction of 25％and stone powder content of 10％(by weight).Furthermore,the stone powder content of less than 10％can improve the interface transition zone,contributing to the enhancement of the concrete mechanical properties.
关键词
机制砂混凝土/响应面法/抗压强度/配合比优化/微观结构/界面过渡区Key words
manufactured sand concrete/response surface methodology/compressive strength/mix proportion optimization/micro-structure/interface transition zone引用本文复制引用
基金项目
宁夏回族自治区重点研发计划(2022BDE02002)
出版年
2024
国家科技期刊平台
NSTL
万方数据