基于绿色施工的铁路填土路堤施工机群配置  

Construction machinery cluster configuration of railway filled embankment based on green construction

作　　者：郑雨茜 鲍学英[1] ZHENG Yuxi;BAO Xueying(School of Civil Engineering,Lanzhou Jiaotong University,Lanzhou 730070,China)

机构地区：[1]兰州交通大学土木工程学院,甘肃兰州730070

出　　处：《铁道科学与工程学报》2018年第12期3239-3247,共9页Journal of Railway Science and Engineering

基　　金：国家自然科学基金资助项目(51768034);长江学者和创新团队发展计划资助项目(RT1139)

摘　　要：基于铁路绿色施工对铁路的可持续发展具有重要作用,为了最优平衡西北寒旱地区铁路工程成本和施工绿色度,针对工程的技术可行性,以铁路填土路堤为研究对象,引入绿色施工成本,建立基于绿色施工下的铁路填土路堤施工机群配置模型。选取具有控制性的16个决策度指标,确定2?种配置情况,运用极差最大化组合赋权法对模型中的决策偏好系数进行赋权;基于引入Pareto局部下山算子和差分算子的Memetic免疫优化算法(MIAMO)对模型进行求解,优选出最佳的施工机群配置情况。通过实例研究验证了模型的实用性和算法的可行性。Railway green construction and railway construction are synchronized advance,which are crucial to the sustainable development of railway.In order to optimally balance the cost of railway project and the green degree of construction in the northwest cold arid region,based on the technical feasibility of the project,taking the railway filled embankment as the research object and introducing green construction cost,a construction machinery cluster configuration model of railway filled embankment under the green construction was established.Selecting 16 decision-making indexes with controllability,determining 2^Фkinds of configuration,and the maximal portfolio weighting method was used to weight the decision preference coefficient in the model.Then based on the Memetic immune optimization algorithm(MIAMO),which introduced Pareto local down-hill operator and differential operator,the model was solved and the best configuration of the construction cluster was selected.Finally,by a case study,the practicality of the model and the feasibility of the algorithm were verified.

关 键 词：铁路填土路堤 绿色施工成本 机群配置 极差最大化组合赋权法 Memetic免疫优化算法 

分 类 号：U215.6[交通运输工程—道路与铁道工程]