Advancing tunnel equipment maintenance through data-driven predictive strategies in underground infrastructure
X Zou, J Zeng, G Yan, KJ Mohammed, M Abbas… - Computers and …, 2024 - Elsevier
Urban tunnel infrastructure, crucial for societal well-being, depends on reliable Tunnel
Electromechanical Equipment (TEE), including ventilation, drainage, and lighting systems. A …
Electromechanical Equipment (TEE), including ventilation, drainage, and lighting systems. A …
A novel identification technology and real-time classification forecasting model based on hybrid machine learning methods in mixed weathered mudstone-sand …
Y Zeng, Y Wei, Y Yang - Tunnelling and Underground Space Technology, 2024 - Elsevier
Geological challenges in tunnel construction have consistently played a pivotal role in
influencing project progress and safety. Accurate tunnel formation data holds the potential to …
influencing project progress and safety. Accurate tunnel formation data holds the potential to …
Real-time prediction of TBM penetration rates using a transformer-based ensemble deep learning model
M Zhang, A Ji, C Zhou, Y Ding, L Wang - Automation in Construction, 2024 - Elsevier
Targeted to address the challenge of accurately predicting Tunnel Boring Machine (TBM)
penetration rates in real-time, this paper explores how to develop a deep learning method …
penetration rates in real-time, this paper explores how to develop a deep learning method …
Deep-learning surrogate models for the stability of a wide rectangular tunnel
The stability of a wide rectangular tunnel in spatially variable soils is investigated using deep-
learning surrogate models combined with a mixed formulation of limit analysis. The mixed …
learning surrogate models combined with a mixed formulation of limit analysis. The mixed …
A comprehensive hybrid method for performance evaluation of a modified earth pressure balance shield machine in mixed strata
Y Zeng, Y Wei, Y Yang, M Zhao - Bulletin of Engineering Geology and the …, 2024 - Springer
The complex geological conditions and operational performance of reconditioning modified
earth pressure balance shield (M-EPBS) machines can critically influence tunnel excavation …
earth pressure balance shield (M-EPBS) machines can critically influence tunnel excavation …
Machine learning-based resilience assessment of tunnel under explosions: Integrating post-explosion loss and recovery models
The frequent occurrence of regional conflicts and occasional explosions poses a severe
threat to the operational safety of underground tunnels. To this end, a detailed resilience …
threat to the operational safety of underground tunnels. To this end, a detailed resilience …
Comparison of W-KNN and MK-KNN discriminative methods
TTH Buulolo, B Saktiawan, K Amali… - SAFF: Science …, 2024 - journalsaff.org
In order to solve difficulties in classification tasks, especially with high-dimensional, noisy,
and imbalanced datasets, this paper compares two classification algorithms: Weighted K …
and imbalanced datasets, this paper compares two classification algorithms: Weighted K …
[引用][C] Special collection on" Recent Advancements in Data-Centric Geotechnics" for Computers and Geotechnics
KK Phoon - Computers and Geotechnics, 2024 - ui.adsabs.harvard.edu
Special collection on "Recent Advancements in Data-Centric Geotechnics" for Computers and
Geotechnics - NASA/ADS Now on home page ads icon ads Enable full ADS view NASA/ADS …
Geotechnics - NASA/ADS Now on home page ads icon ads Enable full ADS view NASA/ADS …