大机捣固养修作业计划多目标决策模型

Multi-Objective Decision Model for Tamping Maintenance Plan of Ballast Track

提出一种以轨道几何状态和养护维修作业成本为子目标函数的大机捣固养护维修作业计划多目标决策模型,其中轨道几何状态最优子目标函数依据轨道高低不平顺恶化模型及恢复模型建立,养护维修作业成本最优子目标函数包括计划性养护费用、固定费用、事后养护费用、舒适性损失费用。采用改进的NSGA-Ⅱ算法对模型进行求解,并编写了相应的MATLAB程序,选取一沪昆上行线区段对模型及算法进行了验证分析。结果表明:所提出的大机捣固养护维修作业计划多目标决策模型能够提供多个养护维修维护计划方案,且对于初始高低不平顺较大且轨道结构状态恶化较快的区段优先安排养护维修作业;对于初始高低不平顺较小且轨道结构状态恶化较慢的区段,将其维修安排在年度计划的后期,或者不予安排维修作业。

This paper proposes a multi-objective decision model for tamping maintenance plan of ballast track with track geometry state and maintenance costs as sub-objective functions.The optimal sub-objective function of track geometry state was established based on the deterioration model and the recovery model of track vertical irregularities.The minimum sub-objective function of maintenance costs includes planned maintenance costs,fixed maintenance costs,post maintenance costs and comfort loss costs.The improved NSGA-II algorithm was used to solve the model and a corresponding MATLAB program was developed for this purpose.A section of Shanghai-Kunming up line was selected to verify the model and algorithm.Results showed that the proposed multi-objective decision model for tamping maintenance plan of ballast track can provide a number of different maintenance plans,and priority maintenance was given to the section with large initial vertical irregularity and fast deterioration of the standard deviation of vertical irregularity,the maintenance was arranged in the later period of the annual plan,or no maintenance was arranged for the section with small initial vertical irregularity and low deterioration of the standard deviation of vertical irregularity.