考虑碳排放的铁路隧道施工机械配置优化模型  

Optimization Model of Deployment of Railway Tunnel Construction Machinery Considering Carbon Emission

作　　者：鲍学英[1] 许锟 BAO Xueying;XU Kun(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：《铁道学报》2020年第9期157-164,共8页Journal of the China Railway Society

基　　金：国家自然科学基金(51768034)。

摘　　要：生态文明建设需要铁路隧道等大型工程起到模范带头作用。为改善大气环境和缓解温室效应,以铁路隧道开挖支护施工为研究对象,在考虑碳排放量的情况下建立隧道开挖支护施工机械配置优化模型。参考施工机具台班费用定额数据以及PAS2050规范,基于CLCD数据库信息计算出隧道工程主要施工机械台班碳排放量。选取具有代表性的14个控制性定量指标作为计算目标偏好权重的基础,利用熵权法基于指标数据计算出目标偏好权重。使用经过均匀设计以及自组织映射改进过的遗传算法对新型机械配置优化模型进行求解计算。最后以乌鞘岭特长隧道6号斜井为例验证了模型及算法的可行性。The construction of ecological civilization requires a leading role played by large-scale projects such as railway tunnels.In order to improve the atmospheric environment and alleviate the greenhouse effect,a case study of the construction of railway tunnel excavation and support was performed.In the case of carbon emission,the optimization model for the deployment of tunnel excavation and support construction machinery was established.Referring to the expense standard data of construction equipment and PAS2050 norm,the carbon emission of main construction equipment of tunnel engineering was calculated based on CLCD database information.Fourteen representative control quantitative indexes were selected as the basis of calculating the weight of target preference,and the entropy weight method was used to calculate the weight of target preference based on the index data.A new machinery deployment optimization model was solved by the genetic algorithm with uniform design and improved self-organizing mapping.At last,the feasibility of the model and algorithm was verified in the case of No.6 inclined shaft in Wushaoling tunnel.

关 键 词：隧道 碳排放 机械配置 熵权法 遗传算法 

分 类 号：U455.3[建筑科学—桥梁与隧道工程]