文章摘要
崔娟,吴咪艺,于斌.沥青路面就地热再生施工方案多目标优化[J].交通运输研究,2019,5(2):76-84.
沥青路面就地热再生施工方案多目标优化
Multi-Objective Optimization of Construction Plan for Hot In-Place Recycling of Asphalt Pavement
  
DOI:
中文关键词: 就地热再生  施工方案  多目标优化  离散事件仿真  Pareto最优解
英文关键词: HIR(Hot In-Place Recycling)  construction plan  multi-objective optimization  discrete event simulation  Pareto Optimal Solution
基金项目:国家自然科学基金项目(51408114);江苏省自然科学基金项目(BK20171359)
作者单位
崔娟 中设设计集团股份有限公司 
吴咪艺 东南大学交通学院 
于斌 东南大学交通学院 
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中文摘要:
      为优化沥青路面就地热再生施工方案的决策过程,提出一种施工方案多目标优化方法。在EZStrobe 软件上实现复拌再生法(A)、复拌加铺法(B)两种施工工艺的可视化仿真,以量化不同工况下沥青路面就地热再生施工过程中的环境影响。确定施工环境影响、施工成本、施工质量的目标函数并构建施工方案多目标优化模型,通过NSGA-Ⅱ算法求解多目标优化问题,获得Pareto最优解。研究发现:(1)随着施工成本的增加,施工环境影响与施工质量不断提高,而施工环境影响与施工质量之间并无明显的线性关系;(2)优化后的自卸卡车具有更好的表现,且对多目标优化结果影响较小,而加热机数量对其的影响较大;(3)随着压实次数增多,决策变量频数呈现断层式下降;(4)施工机械优化效果在B施工工艺上表现更加明显。研究表明:以极值为目标时,B施工工艺在环境影响和施工质量两个目标上表现较优,而在成本上无优势;以均值为目标时,B施工工艺具有更好的环境效益与经济效益,但其施工可靠性不如A施工工艺。
英文摘要:
      In order to optimize the decision-making process of the construction plan of hot in-place recycling(HIR), a multi-objective optimization method was proposed. EZStrobe was used as the discrete event simulation software to simulate the two different HIR methods, remixing generation method (A for short) and repaving generation method (B for short), and the environmental impact of hot in-place re- cycling′ s construction process during different working conditions was quantified. A multi- objective optimization model was established with the decision variables of environmental impact, cost and construction quality. The NSGA-Ⅱ algorithm was employed to solve the multi- objective optimization problem, which could obtain Pareto optimal solutions. It is found that: (1) with the increase of construction cost, the construction environment impact and construction quality are continuously improved, and there is no obvious linear relationship between construction environment impact and construction quality; (2) dump trucks with optimized construction obtain better performance and make less impacts on multi-objective optimization results, whereas the number of heating machines makes a greater impact on it; (3) as the compaction time increases, the frequency of decision variables decreases in a fault-like manner; (4) construction machinery′s effect is more obvious on B. It is proved that: when the extreme value is targeted at, B performs better on environmental impact and construction quality, but has no advantage in cost; when the average value is targeted at, B achieves better environmental and economic benefits, but its construction reliability is not as good as A.
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