Multi-objective optimization control for tunnel boring machine performance improvement under uncertainty

W Liu, A Li, C Liu - Automation in Construction, 2022 - Elsevier
The tunnel boring machine (TBM) is an important and common construction method for
urban subways, and it requires a detailed and rational control strategy to ensure the safety …

Data-driven joint multi-objective prediction and optimization for advanced control during tunnel construction

X Fu, M Wu, RLK Tiong, L Zhang - Expert Systems with Applications, 2024 - Elsevier
This research develops a hybrid approach that integrates light gradient boosting machine
(LightGBM) and non-dominated sorting genetic algorithm II (NSGA-II) to optimize the tunnel …

Intelligent decision method for main control parameters of tunnel boring machine based on multi-objective optimization of excavation efficiency and cost

B Liu, Y Wang, G Zhao, B Yang, R Wang… - … and Underground Space …, 2021 - Elsevier
Timely and reasonable matching of the control parameters and geological conditions of the
rock mass in tunnel excavation is crucial for hard rock tunnel boring machines (TBMs) …

Integrated parameter optimization approach: Just-in-time (JIT) operational control strategy for TBM tunnelling

X Li, S Zhao, Y Shen, G Li, H Zhu - Tunnelling and Underground Space …, 2023 - Elsevier
The timely and appropriate adjustment of operational control strategy is necessary for
efficient tunnelling and hazard prevention in tunnel boring machine (TBM) projects. Because …

Multidisciplinary design optimization of tunnel boring machine considering both structure and control parameters under complex geological conditions

W Sun, X Wang, L Wang, J Zhang, X Song - Structural and …, 2016 - Springer
Abstract A Tunnel Boring Machine (TBM) is an extremely large and complex engineering
machine that usually works under a complicated geological environment to excavate tunnel …

Multi-objective optimization for limiting tunnel-induced damages considering uncertainties

L Zhang, P Lin - Reliability Engineering & System Safety, 2021 - Elsevier
Due to the rapid development of the urban metro system, the situation of new excavation
work being conducted adjacent to existing tunnels is quite common and becomes prime …

A new hybrid grey wolf optimizer-feature weighted-multiple kernel-support vector regression technique to predict TBM performance

H Yang, Z Wang, K Song - Engineering with Computers, 2022 - Springer
Full-face tunnel boring machine (TBM) is a modern and efficient tunnel construction
equipment. A reliable and accurate TBM performance (like penetration rate, PR) prediction …

QPSO-ILF-ANN-based optimization of TBM control parameters considering tunneling energy efficiency

X Wang, J Wu, X Yin, Q Liu, X Huang, Y Pan… - Frontiers of Structural …, 2023 - Springer
In recent years, tunnel boring machines (TBMs) have been widely used in tunnel
construction. However, the TBM control parameters set based on operator experience may …

Mitigating tunnel-induced damages using deep neural networks

Y Pan, L Zhang - Automation in Construction, 2022 - Elsevier
For intelligent risk prediction and optimization in the shield tunnel excavation under
uncertainty, this paper proposes a data-driven decision support framework based on the …

[HTML][HTML] Intelligent decision-making method of TBM operating parameters based on multiple constraints and objective optimization

B Liu, J Wang, R Wang, Y Wang, G Zhao - Journal of Rock Mechanics and …, 2023 - Elsevier
The decision-making method of tunnel boring machine (TBM) operating parameters has a
significant guiding significance for TBM safe and efficient construction, and it has been one …