华南理工大学学报(自然科学版) ›› 2025, Vol. 53 ›› Issue (4): 81-89.doi: 10.12141/j.issn.1000-565X.240300

• 机械工程 • 上一篇    下一篇

考虑沥青黏变与水相变的泡沫沥青喷洒装置多目标优化

程海鹰 李楠希 马登成 吴文霞   

  1. 长安大学工程机械学院/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
  • 出版日期:2025-04-25 发布日期:2024-10-25

Multi-objective Optimization of Foamed Asphalt Spraying Device Considering the Changes of Asphalt Viscosity and Water State

CHENG Haiying LI Nanxi MA Dengcheng WU Wenxia   

  1. School of Construction Machinery/ Engineering Research Center of the Ministry of Education for Expressway Construction and Maintenance Equipment and Technology, Chang'an University, Shaanxi 710064, Xi'an, China
  • Online:2025-04-25 Published:2024-10-25

摘要:

冷再生机在喷洒泡沫沥青时,存在喷口容易积聚沥青且各喷口流量不均的问题。为解决上述问题,需提升泡沫沥青喷口压力减少沥青积聚,均衡各个喷口流量。本文首先从沥青发泡行为本质出发,在多相流混合理论的基础上,考虑沥青发泡过程中沥青黏变与水的相变,将沥青的黏温特性函数与水的相变函数引入计算模型,对流体体积(VOF)模型进行修正,建立沥青发泡行为控制模型。其次,数值模拟沥青发泡过程中的喷口压力与流量并与实验进行对比,得到该沥青发泡行为控制模型在喷口压力与流量方面的误差分别为9.2%,7.7%。最后,在上述沥青发泡行为模型的基础上,构建关于泡沫沥青喷洒装置的数值仿真模型,按照设计的实验方案数值模拟泡沫沥青喷洒过程。根据模拟结果,在Isight平台中构建Kriging代理模型,进而建立以提升出口压力,减小各喷口质量流量差为目标的多目标优化模型,并运用NSGA-Ⅱ算法进行求解,得到Pareto解集并对其进行分析。结果表明,当沥青管径为0.74a、发泡水管径为0.58b、泡沫沥青喷口直径为0.6c、泡沫沥青喷口个数为d时,泡沫沥青喷洒装置性能最优。在考虑沥青发泡行为特点的前提下,提升了泡沫沥青喷洒装置性能。


关键词: 泡沫沥青, 喷洒装置, 多相流, VOF模型, 多目标优化

Abstract: When the cold recycling machine sprays foamed asphalt, asphalt is easy to accumulate at the nozzle, and the flow of each nozzle is uneven. To solve the above problems, it is necessary to increase the pressure of foamed asphalt nozzle to reduce asphalt accumulation and balance the flow of each nozzle. This article first starts from the essence of asphalt foaming behavior, and based on the multiphase flow mixing theory, considered the changes in asphalt viscosity and water state during the asphalt foaming process. The viscosity temperature characteristic function of asphalt and the phase transition function of water were introduced into the calculation model to modify the fluid volume (VOF) model and establish a control model for asphalt foaming behavior. Secondly, numerical simulations were conducted to compare the nozzle pressure and flow rate during the asphalt foaming process with experiments, and it was found that the errors of the asphalt foaming behavior control model in terms of nozzle pressure and flow rate were 9.2% and 7.7%. Finally, based on the above asphalt foaming behavior model, the numerical simulation model of foamed asphalt spraying device was constructed. According to the designed experimental scheme, the spraying process of foamed asphalt was simulated numerically. Based on the simulation results, a Kriging surrogate model was constructed on the Isight platform, and a multi-objective optimization model was established with the goal of improving outlet pressure and reducing the mass flow rate of each nozzle. The multi-objective optimization model was solved by the NSGA-II algorithm. The Pareto solution set was obtained. The optimization results were obtained by analyzing the Pareto solution set. The results show that when the asphalt pipe diameter is 0.74a, the foaming pipe diameter is 0.58b, the foamed asphalt nozzle diameter is 0.6c, and the number of foamed asphalt nozzles is d, the performance of the foamed asphalt spraying device was optimal. Under the premise of considering the characteristics of asphalt foaming behavior, the performance of foamed asphalt spraying device is improved.

Key words: foamed asphalt, spraying device, multiphase flow, VOF model, multi-objective optimization