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    Optimizing Tunnel Boring Machine Operations in Real Time within Defined Constraints

    Source: Journal of Construction Engineering and Management:;2025:;Volume ( 151 ):;issue: 006::page 04025042-1
    Author:
    Young Jin Shin
    ,
    Ebrahim Farrokh
    ,
    Jaehoon Jung
    ,
    Hanbyul Kang
    DOI: 10.1061/JCEMD4.COENG-15962
    Publisher: American Society of Civil Engineers
    Abstract: The optimization of tunnel boring machine (TBM) performance represents a fundamental challenge in underground construction. This study effectively addresses a notable research gap by leveraging a decade’s worth of meticulously gathered data from a rotary cutting machine (RCM). By employing dimensional analysis and conducting comprehensive RCM tests, this research develops innovative equations for normal and rolling forces, which are critical factors influencing TBM operations. These equations serve as invaluable tools for optimizing TBM operations under real time conditions. Furthermore, the study introduces a comprehensive methodology specifically tailored to optimize the TBM operation, encompassing essential considerations such as cutter load limits, TBM torque constraints, and cutter geometry. To validate the established formulas and optimization methodology, a pragmatic case study incorporates the TBM advanced driver assistance system (TADAS), effectively demonstrating the practical application and effectiveness of these advancements in real-world construction scenarios. This research significantly contributes to the refinement of TBM operations while effectively addressing practical constraints, thereby fostering improved efficiency and overall performance. This research focuses on optimizing tunnel boring machine (TBM) operations by utilizing advanced data analysis and innovative equations derived from extensive testing of a rotary cutting machine (RCM). The findings provide actionable insights for construction professionals involved in underground projects. By applying the developed formulas, engineers can better predict and enhance TBM performance, leading to increased penetration rates and improved efficiency. The introduction of the TBM advanced driver assistance system (TADAS) allows for real-time adjustments based on ground conditions, ensuring optimal excavation speed while adhering to safety constraints. This approach not only reduces operational costs but also significantly improves project timelines and resource management in tunneling operations, making the methodologies presented in this study valuable tools for engineers and construction managers in the field.
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      Optimizing Tunnel Boring Machine Operations in Real Time within Defined Constraints

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4307289
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    contributor authorYoung Jin Shin
    contributor authorEbrahim Farrokh
    contributor authorJaehoon Jung
    contributor authorHanbyul Kang
    date accessioned2025-08-17T22:40:59Z
    date available2025-08-17T22:40:59Z
    date copyright6/1/2025 12:00:00 AM
    date issued2025
    identifier otherJCEMD4.COENG-15962.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4307289
    description abstractThe optimization of tunnel boring machine (TBM) performance represents a fundamental challenge in underground construction. This study effectively addresses a notable research gap by leveraging a decade’s worth of meticulously gathered data from a rotary cutting machine (RCM). By employing dimensional analysis and conducting comprehensive RCM tests, this research develops innovative equations for normal and rolling forces, which are critical factors influencing TBM operations. These equations serve as invaluable tools for optimizing TBM operations under real time conditions. Furthermore, the study introduces a comprehensive methodology specifically tailored to optimize the TBM operation, encompassing essential considerations such as cutter load limits, TBM torque constraints, and cutter geometry. To validate the established formulas and optimization methodology, a pragmatic case study incorporates the TBM advanced driver assistance system (TADAS), effectively demonstrating the practical application and effectiveness of these advancements in real-world construction scenarios. This research significantly contributes to the refinement of TBM operations while effectively addressing practical constraints, thereby fostering improved efficiency and overall performance. This research focuses on optimizing tunnel boring machine (TBM) operations by utilizing advanced data analysis and innovative equations derived from extensive testing of a rotary cutting machine (RCM). The findings provide actionable insights for construction professionals involved in underground projects. By applying the developed formulas, engineers can better predict and enhance TBM performance, leading to increased penetration rates and improved efficiency. The introduction of the TBM advanced driver assistance system (TADAS) allows for real-time adjustments based on ground conditions, ensuring optimal excavation speed while adhering to safety constraints. This approach not only reduces operational costs but also significantly improves project timelines and resource management in tunneling operations, making the methodologies presented in this study valuable tools for engineers and construction managers in the field.
    publisherAmerican Society of Civil Engineers
    titleOptimizing Tunnel Boring Machine Operations in Real Time within Defined Constraints
    typeJournal Article
    journal volume151
    journal issue6
    journal titleJournal of Construction Engineering and Management
    identifier doi10.1061/JCEMD4.COENG-15962
    journal fristpage04025042-1
    journal lastpage04025042-14
    page14
    treeJournal of Construction Engineering and Management:;2025:;Volume ( 151 ):;issue: 006
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian