Research on Multi-Objective Optimization of Shield Tunneling Parameters Based on Power Consumption and Efficiency

Wei Wang, Huanhuan Feng (), Yanzong Li, Xudong Zheng (), Jinhui Qi and Huaize Sun
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Wei Wang: School of Civil Engineering, Central South University, Changsha 410075, China
Huanhuan Feng: School of Civil Engineering, Central South University, Changsha 410075, China
Yanzong Li: State Key Laboratory of Shield Machine and Boring Technology, Zhengzhou 450001, China
Xudong Zheng: School of Civil Engineering, Central South University, Changsha 410075, China
Jinhui Qi: School of Civil Engineering, Central South University, Changsha 410075, China
Huaize Sun: School of Civil Engineering, Central South University, Changsha 410075, China

Sustainability, 2024, vol. 16, issue 14, 1-19

Abstract: The shield tunneling method is commonly used in the development and construction of underground spaces, and the adjustment of its parameters is a crucial part of shield construction. However, there are relatively few studies on optimizing tunneling parameters from a sustainable perspective, with a focus on energy saving and emission reduction. This study addresses this gap by combining engineering geological conditions with shield machine propulsion parameters in a specific section of metro construction in China. By aiming to reduce power consumption and improve efficiency, an improved particle swarm optimization algorithm based on the concept of Pareto optimal solutions was employed to optimize the tunneling parameters. The results demonstrated that the optimized parameters reduced power consumption and improved efficiency. This validates the feasibility of the optimization scheme and its potential for broader applications in sustainable underground construction.

Keywords: sustainability; power consumption; efficiency; boring parameters; multi-objective optimization (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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