| description 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. | |
