脆弱性视角下的城市综合管廊路径优化模型
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摘要
城市地下综合管廊是实现地下空间资源可持续发展的重要措施之一,大规模敷设综合管廊使之形成管廊网络势在必行,而综合管廊路径规划对综合管廊网络形成至关重要。本文在脆弱性视角下对城市地下综合管廊路径规划进行定量研究。首先基于地质脆弱性与脆弱路段内涵,建立地质脆弱性与脆弱路段评价指标体系与评价模型;其次,以地质脆弱性与脆弱路段等作为约束条件,建立多约束最短路径优化模型,并对基本蚁群算法进行改进求解;最后用不同方法对同一工程实例进行综合管廊路径优化。研究结果表明,脆弱性视角下的多约束路径优化模型计算过程简单、实用性强,且更符合工程实际,为城市地下综合管廊规划提供了新视角和新方法。
Utility tunnel is one of the important measures to realize the sustainable development of underground space resource. Path planning is essential to the utility tunnel network formation based on large-scale utility tunnel construction. The quantitative study on the path planning of utility tunnel from the view of vulnerability has been focused on. Firstly,the evaluation index system and evaluation model of geological vulnerability and vulnerable sections are established respectively based on the connotation of geological vulnerability and vulnerable sections.Secondly,the multi-constrained shortest path optimization model is established with geological vulnerability and vulnerable section as constraints,and it is solved with improving the basic ant colony algorithm. Finally,three different methods are used to optimize the utility tunnel route for the same engineering instance. The result shows that it is necessary to consider the constraints of vulnerability,and the validity of the multi-constrained utility tunnel route optimization model under the improved ant colony algorithm and the applicable conditions are verified. The multi-constrained path optimization model under the vulnerability perspective is simple,practical and more in line with engineering practice,which provides a new perspective and a new method for the utility tunnel planning,and provides a basis for the formation of large-scale utility tunnel network.
Utility tunnel is one of the important measures to realize the sustainable development of underground space resource. Path planning is essential to the utility tunnel network formation based on large-scale utility tunnel construction. The quantitative study on the path planning of utility tunnel from the view of vulnerability has been focused on. Firstly,the evaluation index system and evaluation model of geological vulnerability and vulnerable sections are established respectively based on the connotation of geological vulnerability and vulnerable sections.Secondly,the multi-constrained shortest path optimization model is established with geological vulnerability and vulnerable section as constraints,and it is solved with improving the basic ant colony algorithm. Finally,three different methods are used to optimize the utility tunnel route for the same engineering instance. The result shows that it is necessary to consider the constraints of vulnerability,and the validity of the multi-constrained utility tunnel route optimization model under the improved ant colony algorithm and the applicable conditions are verified. The multi-constrained path optimization model under the vulnerability perspective is simple,practical and more in line with engineering practice,which provides a new perspective and a new method for the utility tunnel planning,and provides a basis for the formation of large-scale utility tunnel network.
引文
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[13]黄大荣,沈利兵,赵玲.基于复杂网络理论的城市路网脆弱性研究[J].重庆交通大学学报,2015,34(1):110-115.(Huang Darong,Shen Libing,Zhao Ling.Vulnerability analysis of urban road network based on complex network theory[J].Journal of Chongqing Jiaotong University,2015,34(1):110-115.(in Chinese))
[14]王伟.城市道路交通网络关键节点和路段辨识方法研究[D].长春:吉林大学,2015.(Wang Wei.Research on the method of key node and section distinguish of urban rode traffic network[D].Changchun:Jilin University,2015.(in Chinese))
[15]玉坤.蚁群算法在路径规划问题中的应用研究[D].北京:北京工业大学,2012.(Yu Kun.Research on ant colony optimization algorithms in routing planning problems[D].Beijing:Beijing University of Technology,2012.(in Chinese))
[16]施寅跃.城市道路网中蚁群最短路径算法研究[D].南京:南京理工大学,2010.(Shi Yinyue.Research on ant colony shortest path algorithm in urban road network[D].Nanjing:Nanjing University of Science and Technology,2010.(in Chinese))
[2]田强,薛国州,田建波,等.城市地下综合管廊经济效益研究[J].地下空间与工程学报,2015,11(增2):373-377.(Tian Qiang,Xue Guozhou,Tian Jianbo,et al.Economic Benefits Research of Urban Utility Tunnel[J].Chinese Journal of Underground Space and Engineering,2015,11(Supp.2):373-377.(in Chinese))
[3]国务院.国务院关于加强城市基础设施建设的意见[J].辽宁省人民政府公报,2013(10):35-39.(The State Council.The state council on strengthening the construction of urban infrastructure[J].Liaoning Province People’s Government of the Communique,2013(10):35-39.(in Chinese))
[4]上海市城乡建设和交通委员会.城市综合管廊工程技术规范(GB 50838-2015)[M].北京:中国计划出版社,2012.(Department of Urban and Rural Construction and Transportation Committee of Shanghai.Technical Specification for Urban Integrated Corridor Engineering(GB 50838-2015)[M].Beijing:China Planning Press,2012.(in Chinese))
[5]降旗哲入,三浦秀一.东京湾新干线共同沟计画[A]//东京日本建筑学会[C].日本,昭和63年度:619-624.(Furuhata Tetsuya,Miura Shuichi.Plan of Tokyo Bay Shinkansen utility tunnel[A]//Architectural society in Tokyo Japan[C].Japan,1988:619-624.(in Japanese))
[6]韩勇,陈戈,李海涛.基于GIS的城市地下管线空间分析模型建立与实现[J].中国海洋大学学报,2004,34(3):506-512.(Han Yong,Chen Ge,Li Haitao.Construction and implementation of GIS-based spatial analysis models for urban underground pipelines[J].Periodical of Ocean University of China,2004,34(3):506-512.(in Chinese))
[7]靳俊伟,彭颖.山地城市综合管廊规划设计探讨[J].给水排水,2016,42(5):115-117.(Jin Junwei,Peng Ying.Discussion on planning and design of utility tunnel in mountainous city[J].Water&Wastewater Engineering,2016,42(5):115-117.(in Chinese))
[8]范峻慧.长沙市地质环境脆弱性诊断及对策研究[D].长沙:中南大学,2012.(Fan Junhui.Research on vulnerability of geological environment and its engineering response in Changsha city[D].Changsha:Central South University,2012.(in Chinese))
[9]雷波,焦峰,王志杰,等.延河流域生态环境脆弱性评价及其特征分析[J].西北林学院学报,2013,28(3):161-167.(Lei Bo,Jiao Feng,Wang Zhijie,et al.Eco-environment vulnerability evaluation and characteristics analysis in Yanhe River watershed[J].Journal of Northwest Forestry University,2013,28(3):161-167.(in Chinese))
[10]李元仲,赵书泉,武雄.鲁南经济带地质环境脆弱性评价[J].现代地质,2014,28(5):1098-1102.(Li Yuanzhong,Zhao Shuquan,Wu Xiong.Geological environment vulnerability evaluation of the economic zone in south Shandong[J].Geoscience,2014,28(5):1098-1102.(in Chinese))
[11]李锐,金祎璇,任欢.基于信息熵与变权综合的城市快速路节点规划[J].西安建筑科技大学学报(自然科学版),2014,46(5):1-5.(Li Rui,Jin Yixuan,Ren Huan.Evaluation model of urban expressway nodes based on entropy weight and variable weight model[J].Journal of Xi’an University of Architecture&Technology(Naturnal Science Edition),2014,46(5):1-5.(in Chinese))
[12]何冠楠.基于脆弱性分析的随机路网设计[D].成都:西南交通大学,2014.(He Guannan.Stochastic road network design based on vulnerability analysis[D].Chengdu:Southwest Jiaotong University,2014.(in Chinese))
[13]黄大荣,沈利兵,赵玲.基于复杂网络理论的城市路网脆弱性研究[J].重庆交通大学学报,2015,34(1):110-115.(Huang Darong,Shen Libing,Zhao Ling.Vulnerability analysis of urban road network based on complex network theory[J].Journal of Chongqing Jiaotong University,2015,34(1):110-115.(in Chinese))
[14]王伟.城市道路交通网络关键节点和路段辨识方法研究[D].长春:吉林大学,2015.(Wang Wei.Research on the method of key node and section distinguish of urban rode traffic network[D].Changchun:Jilin University,2015.(in Chinese))
[15]玉坤.蚁群算法在路径规划问题中的应用研究[D].北京:北京工业大学,2012.(Yu Kun.Research on ant colony optimization algorithms in routing planning problems[D].Beijing:Beijing University of Technology,2012.(in Chinese))
[16]施寅跃.城市道路网中蚁群最短路径算法研究[D].南京:南京理工大学,2010.(Shi Yinyue.Research on ant colony shortest path algorithm in urban road network[D].Nanjing:Nanjing University of Science and Technology,2010.(in Chinese))