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  • Open Access

    ARTICLE

    Design of a Wireless Measurement Instrument for Tunnel Anchor Rod Length

    Mengqiang Yu1, Xingcheng Wang1, Chen Quan1, Mingxin Sun1, Yujun Yang2, Xiaodong He1, Wu Sun2,*, Pengfei Cao1,*

    Structural Durability & Health Monitoring, Vol.19, No.5, pp. 1127-1143, 2025, DOI:10.32604/sdhm.2025.067069 - 05 September 2025

    Abstract Accurate measurement of anchor rod length is crucial for ensuring structural safety in tunnel engineering, yet conventional destructive techniques face limitations in efficiency and adaptability to complex underground environments. This study presents a novel wireless instrument based on the standing wave principle to enable remote, non-destructive length assessment. The system employs a master-slave architecture, where a handheld transmitter unit initiates measurements through robust 433 MHz wireless communication, optimized for signal penetration in obstructed spaces. The embedded measurement unit, integrated with anchor rods during installation, utilizes frequency-scanning technology to excite structural resonances. By analyzing standing wave… More >

  • Open Access

    ARTICLE

    Tree-Based Solution Frameworks for Predicting Tunnel Boring Machine Performance Using Rock Mass and Material Properties

    Danial Jahed Armaghani1,*, Zida Liu2, Hadi Khabbaz1, Hadi Fattahi3, Diyuan Li2, Mohammad Afrazi4

    CMES-Computer Modeling in Engineering & Sciences, Vol.141, No.3, pp. 2421-2451, 2024, DOI:10.32604/cmes.2024.052210 - 31 October 2024

    Abstract Tunnel Boring Machines (TBMs) are vital for tunnel and underground construction due to their high safety and efficiency. Accurately predicting TBM operational parameters based on the surrounding environment is crucial for planning schedules and managing costs. This study investigates the effectiveness of tree-based machine learning models, including Random Forest, Extremely Randomized Trees, Adaptive Boosting Machine, Gradient Boosting Machine, Extreme Gradient Boosting Machine (XGBoost), Light Gradient Boosting Machine, and CatBoost, in predicting the Penetration Rate (PR) of TBMs by considering rock mass and material characteristics. These techniques are able to provide a good relationship between input(s)… More >

  • Open Access

    ARTICLE

    A Frost Heaving Prediction Approach for Ground Uplift Simulation Due to Freeze-Sealing Pipe Roof Method

    Shengjun Deng1,2,3, Haolin Chen1, Xiaonan Gong2, Jiajin Zhou2, Xiangdong Hu4, Gang Jiang1,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.132, No.1, pp. 251-266, 2022, DOI:10.32604/cmes.2022.020388 - 02 June 2022

    Abstract Freeze-sealing pipe roof method is applied in the Gongbei tunnel, which causes the ground surface uplift induced by frost heave. A frost heaving prediction approach based on the coefficient of cold expansion is proposed to simulate the ground deformation of the Gongbei tunnel. The coefficient of cold expansion in the model and the frost heaving rate from the frost heave test under the hydration condition can achieve a good correspondence making the calculation result closer to the actual engineering. The ground surface uplift along the lateral and longitudinal direction are respectively analyzed and compared with… More >

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