[1]张泽宇,母绍平,惠记庄*,等.多介质路面材料连续搅拌均匀性离散元模拟与工艺参数优化[J].长安大学学报(自然科学版),2026,46(01):199-210.[doi:10.19721/j.cnki.1671-8879.2026.01.015]
 ZHANG Ze-yu,MU Shao-ping,HUI Ji-zhuang*,et al.Discrete element simulation and process parameter optimization for continuous mixing uniformity of multi-component pavement materials[J].Journal of Chang’an University (Natural Science Edition),2026,46(01):199-210.[doi:10.19721/j.cnki.1671-8879.2026.01.015]
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多介质路面材料连续搅拌均匀性离散元模拟与工艺参数优化()
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长安大学学报(自然科学版)[ISSN:1006-6977/CN:61-1281/TN]

卷:
第46卷
期数:
2026年01期
页码:
199-210
栏目:
汽车与机械工程
出版日期:
2026-01-31

文章信息/Info

Title:
Discrete element simulation and process parameter optimization for continuous mixing uniformity of multi-component pavement materials
文章编号:
1671-8879(2026)01-0199-12
作者:
张泽宇123母绍平1惠记庄1*任余1刘勇14
(1. 长安大学 高速公路筑养装备与技术教育部工程研究中心,陕西 西安 710064; 2. 长安大学 道路施工技术与装备教育部重点实验室,陕西 西安 710064; 3. 西藏天路股份有限公司 科研中心,西藏 拉萨 850000; 4. 中航电测仪器(西安)有限公司,陕西 西安 710064)
Author(s):
ZHANG Ze-yu123 MU Shao-ping1 HUI Ji-zhuang1* REN Yu1 LIU Yong14
(1. Engineering Research Center of Ministry of Education of Construction and Maintenance Equipment and Technology of Expressway, Chang'an University, Xi'an 710064, Shaanxi, China; 2. Key Laboratory of Road Construction Technology and Equipment of Ministry of Education, Chang'an University, Xi'an 710064,Shaanxi, China; 3. Research Center, Xizang Tianlu Co., Ltd., Lhasa 850000, Xizang, China; 4. Zhonghang Electronic Measuring Instruments(Xi'an)Co., Ltd., Xi'an 710064, Shaanxi, China)
关键词:
搅拌设备 多介质路面材料 搅拌均匀性 相似理论 离散系数
Keywords:
mixing equipment multi-component pavement material mixing uniformity similarity theory dispersion coefficient
分类号:
U415.52
DOI:
10.19721/j.cnki.1671-8879.2026.01.015
文献标志码:
A
摘要:
为研究连续搅拌设备内的颗粒运动特性和作业参数对多介质路面材料搅拌均匀性的影响,以半柔性路面材料为例,在相似理论的基础上建立了连续搅拌设备模型,采用离散元方法模拟了设备内不同粒径的颗粒分布、运动轨迹及速度特征; 以离散系数为评价指标,分析了搅拌轴转速和颗粒供给量对搅拌出料口颗粒均匀性的影响,确定了最佳组合参数,并通过方差分析(ANOVA)确定了最大显著影响因素。研究结果表明:与Hertz模型相比,Hertz-Mindlin with JKR接触模型的颗粒受黏结力作用,黏聚程度较高,扩散程度较小,更接近混凝土塌落的实际情况; 相同粒径颗粒在连续搅拌设备进料口处聚集性最大,经过搅拌后沿轴线逐渐分布均匀,在出料口混合程度最佳; 混合料在搅拌设备中间区域出现聚集现象,在搅拌叶片的驱动下产生沸腾效应; 进料口和搅拌轴与搅拌设备内壁间的颗粒速度较大,沿搅拌轴中间区域的速度较小; 搅拌工作开始后8 s左右颗粒平均速度在0.09 m/s附近波动,此时搅拌设备内颗粒基本充盈,进入稳定工作状态; 在搅拌叶片的带动下,颗粒间存在一定间隙,可增加颗粒在运动中与其余类型颗粒接触的机会,促使搅拌均匀,且颗粒均匀性从进料口到出料口不断增大; 当颗粒供给量为164 t/h,搅拌轴转速为160 r/min时,搅拌均匀性最佳; 通过双因素方差分析得出,颗粒供给量对搅拌均匀性的影响大于搅拌轴转速。
Abstract:
To investigate the particle motion characteristics and the effects of operational parameters on the mixing uniformity of multi-component pavement materials in continuous mixing equipment, the semi-flexible pavement material was taken as an example, and a model of continuous mixing equipment was established based on similarity theory. The discrete element method(DEM)was used to simulate the distribution, motion trajectories and velocity characteristics of particles with different sizes inside the equipment. The dispersion coefficient was served as the evaluation index. The effects of mixing shaft rotational speed and particle feed rate on the mixing uniformity of particles at the discharge outlet were analyzed. The optimal combination of parameters was determined. The most significant influencing factor was identified through analysis of variance(ANOVA). The research results show that compared with the Hertz model, particles in the Hertz-Mindlin with JKR contact model are subjected to adhesive forces. They exhibit higher cohesion and lower dispersion. This condition is closer to the actual situation of concrete slump. Particles with the same size have the maximum aggregation at the feed inlet of the continuous mixing equipment. After mixing, they gradually distribute uniformly along the axis. The best mixing degree is achieved at the discharge outlet. The mixture shows aggregation in the middle region of the mixing equipment. A boiling effect is generated under the driving action of the mixing blades. Particle velocities are larger at the feed inlet and in the gap between the mixing shaft and the equipment inner wall. The velocity is smaller in the middle region along the mixing shaft. The average particle velocity fluctuates near 0.09 m/s around 8 s after the start of mixing work. At this time, the particles inside the mixing equipment are basically full. The mixing equipment enters a stable working state. Driven by the mixing blades, gaps exist between particles. This can increase the opportunity for particles to contact other types of particles during motion and promote mixing uniformity. The mixing uniformity continuously increases from the feed inlet to the discharge outlet. The best mixing uniformity is achieved when the particle feed rate is 164 t/h and the mixing shaft rotational speed is 160 r/min. The two-factor ANOVA shows that the effect of particle feed rate on the mixing uniformity is greater than that of the mixing shaft rotational speed.11 tabs, 13 figs, 30 refs.

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[2]林涛,王志文.沥青混凝土搅拌设备计算机控制系统[J].长安大学学报(自然科学版),2005,25(02):86.
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备注/Memo

备注/Memo:
收稿日期:2025-07-18
基金项目:国家自然科学基金项目(52278390); 陕西省留学人员科技活动择优资助项目(2024006);
陕西省自然科学基础研究计划项目(2025JC-YBMS-416,2025SYS-SYSZD-104,2023-JC-QN-0381)
作者简介:张泽宇(1990-),男,陕西渭南人,高级工程师,工学博士,从事工程机械作业质量优化控制研究,E-mail:zhangzeyu@chd.edu.cn。
更新日期/Last Update: 2026-02-20