YaBeSH Engineering and Technology Library

    • Journals
    • PaperQuest
    • YSE Standards
    • YaBeSH
    • Login
    View Item 
    •   YE&T Library
    • ASCE
    • Journal of Construction Engineering and Management
    • View Item
    •   YE&T Library
    • ASCE
    • Journal of Construction Engineering and Management
    • View Item
    • All Fields
    • Source Title
    • Year
    • Publisher
    • Title
    • Subject
    • Author
    • DOI
    • ISBN
    Advanced Search
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Archive

    Real-Time Construction Schedule Analysis of Long-Distance Diversion Tunnels Based on Lithological Predictions Using a Markov Process

    Source: Journal of Construction Engineering and Management:;2015:;Volume ( 141 ):;issue: 002
    Author:
    Lei Bi
    ,
    Bingyu Ren
    ,
    Denghua Zhong
    ,
    Lianxing Hu
    DOI: 10.1061/(ASCE)CO.1943-7862.0000935
    Publisher: American Society of Civil Engineers
    Abstract: Schedules are major concerns in construction planning and management. The mutual interferences among construction activities of long-distance diversion tunnels (LDDTs) are complicated because of their crisscrossing and intensive layout, which will affect scheduling to some degree. Especially, lithology has a conclusive influence on underground construction. But the lithology determination methods of current construction simulation, such as the trend of extrapolation from observations, do not fully consider lithology’s inherent characteristics and the transition probability between different lithological classifications. In the present study, the authors propose a hierarchical simulation model coupling the critical path method (CPM) and cycle operation network (CYCLONE) to arrange the intricate construction sequence of LDDTs. Additionally, a Markov prediction model is embedded into the CYCLONE model as a specific component to consider lithological uncertainty and estimate construction parameters of each cycle automatically. Based on the proposed simulation model, a real-time construction schedule analysis system is built. A case study project is analyzed to demonstrate the feasibility of the methodology and to highlight its capabilities. For this project, a reasonable planned schedule is proposed, an optimal equipment selection is determined, the excavation intensity is balanced, and it is verified that a simulation model considering lithological uncertainty using a Markov process provides a higher level of accuracy in prediction than traditional simulations. Finally, regulatory measures are presented for site management based on the simulation results and the deviations between the actual and planned schedules.
    • Download: (23.49Mb)
    • Show Full MetaData Hide Full MetaData
    • Get RIS
    • Item Order
    • Go To Publisher
    • Price: 5000 Rial
    • Statistics

      Real-Time Construction Schedule Analysis of Long-Distance Diversion Tunnels Based on Lithological Predictions Using a Markov Process

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/72904
    Collections
    • Journal of Construction Engineering and Management

    Show full item record

    contributor authorLei Bi
    contributor authorBingyu Ren
    contributor authorDenghua Zhong
    contributor authorLianxing Hu
    date accessioned2017-05-08T22:10:44Z
    date available2017-05-08T22:10:44Z
    date copyrightFebruary 2015
    date issued2015
    identifier other37235306.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/72904
    description abstractSchedules are major concerns in construction planning and management. The mutual interferences among construction activities of long-distance diversion tunnels (LDDTs) are complicated because of their crisscrossing and intensive layout, which will affect scheduling to some degree. Especially, lithology has a conclusive influence on underground construction. But the lithology determination methods of current construction simulation, such as the trend of extrapolation from observations, do not fully consider lithology’s inherent characteristics and the transition probability between different lithological classifications. In the present study, the authors propose a hierarchical simulation model coupling the critical path method (CPM) and cycle operation network (CYCLONE) to arrange the intricate construction sequence of LDDTs. Additionally, a Markov prediction model is embedded into the CYCLONE model as a specific component to consider lithological uncertainty and estimate construction parameters of each cycle automatically. Based on the proposed simulation model, a real-time construction schedule analysis system is built. A case study project is analyzed to demonstrate the feasibility of the methodology and to highlight its capabilities. For this project, a reasonable planned schedule is proposed, an optimal equipment selection is determined, the excavation intensity is balanced, and it is verified that a simulation model considering lithological uncertainty using a Markov process provides a higher level of accuracy in prediction than traditional simulations. Finally, regulatory measures are presented for site management based on the simulation results and the deviations between the actual and planned schedules.
    publisherAmerican Society of Civil Engineers
    titleReal-Time Construction Schedule Analysis of Long-Distance Diversion Tunnels Based on Lithological Predictions Using a Markov Process
    typeJournal Paper
    journal volume141
    journal issue2
    journal titleJournal of Construction Engineering and Management
    identifier doi10.1061/(ASCE)CO.1943-7862.0000935
    treeJournal of Construction Engineering and Management:;2015:;Volume ( 141 ):;issue: 002
    contenttypeFulltext
    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian
     
    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian