基于MAA模型和随机投放算法的再生细骨料颗粒级配优化设计与应用-《混凝土与水泥制品》杂志社

基于MAA模型和随机投放算法的再生细骨料颗粒级配优化设计与应用

Optimization design and application of particle size distribution for recycled fine aggregates based on MAA model and random packing algorithm

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关键词：

Optimization design and application of particle size distribution for recycled fine aggregates based on MAA model and random packing algorithm

Key words：

Recycled fine aggregate; Particle size distribution; Random packing algorithm; Andreessen-Andersen model; Optimization design; Mortar performance; Engineering application

刊期：

2025年第9期

DOI：

10.19761/j.1000-4637.2025.09.084.05

文章编号：

基金项目：

国家重点研发计划资助项目（2020YFC1909901）。

作者：

基于MAA模型和随机投放算法的再生细骨料颗粒级配优化设计与应用

单位：

1.安徽省交控建设管理有限公司，安徽合肥 236000；2.合肥工业大学土木与水利工程学院，安徽合肥 230009；3.水泥基材料低碳技术安徽省工程研究中心，安徽合肥 230009；4.安徽建工路港建设集团有限公司，安徽合肥 230094

摘要

摘要：通过椭球状骨料的最紧密堆积对Andreasen-Andersen模型（MAA模型）进行了修正，根据随机投放算法建立了考虑再生细骨料长径比Ar的修正MAA模型，明确了再生细骨料的长径比A_r分别与分布系数n和空隙率v之间的关系，并对再生细骨料的颗粒级配进行了优化设计。对比分析了优化前后再生细骨料的紧密堆积空隙率，及其对再生砂浆工作性和力学性能的影响，并进行了工程应用。结果表明：优化后的再生细骨料紧密堆积空隙率显著降低，由其制备的再生砂浆流动性较好，力学性能较高；优化后的再生细骨料成功应用到了某高速公路蜂窝路基混凝土工程中。

Abstract: The Andreessen-Andersen model (MAA model) was modified by the closest packing of ellipsoidal aggregates, and a modified MAA model considering the aspect ratio(A_r) of recycled fine aggregates was established based on the random packing algorithm. The relationship between the aspect ratio(A_r) of recycled fine aggregates and the distribution coefficient(n) and porosity(v) was clarified, and the particle size distribution of recycled fine aggregates was optimized. A comparative analysis was conducted on the compact packing porosity of recycled fine aggregates before and after optimization, as well as their effects on the workability and mechanical properties of recycled mortar, and the engineering applications were carried out. The results show that the optimized recycled fine aggregate significantly reduces the compact packing porosity, and the prepared recycled mortar has better flowability and higher mechanical properties. The optimized recycled fine aggregate has been successfully applied to the honeycomb foundation concrete project of a certain highway.

结论

（1）与河砂相比，再生细骨料的长径比Ar较大，球形度SP、凸度Co、圆形度R均变化较小，Ar是再生细骨料区别于河砂的主要颗粒形貌特征。
（2）本文通过椭球状骨料的最紧密堆积对MAA模型进行修正，并根据随机投放算法建立了考虑长径比Ar的修正MAA模型，明确了再生细骨料的长径比Ar与分布系数n和空隙率v之间的关系。
（3）与未修正MAA模型和规范方法相比，基于修正MAA模型得到的再生细骨料紧密堆积空隙率最小，颗粒级配最好，由其制备的再生砂浆的流动性最好，力学性能最高。另外，随着长径比Ar的增大，再生砂浆的流动性、28 d抗压和抗折强度均有所降低。
（4）经修正MAA模型优化后的再生细骨料已成功应用于某高速公路蜂窝路基结构工程，所制备的混凝土强度满足工程要求。

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引用本文

董骜,李虹岑,章征,等.基于MAA模型和随机投放算法的再生细骨料颗粒级配优化设计与应用[J].混凝土与水泥制品,2025(9):84-88.

DONG A,LI H C,ZHANG Z,et al.Optimization design and application of particle size distribution for recycled fine aggregates based on MAA model and random packing algorithm[J].China Concrete and Cement Products,2025(9):84-88.

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