Analysis and reinforcement design of power concentrated joints in steel arch splicing mechanisms for tunnel boring machines

To address the challenges of low efficiency and high safety risks in manual steel arch installation during Tunnel Boring Machine (TBM) construction, this study proposes an innovative steel arch splicing mechanism. By employing power-concentrated joint analysis and closed-loop reinforcement design, the mechanism demonstrates significantly enhanced dynamic performance and load-bearing capacity. The research first introduces a novel bolt-free steel arch joint structure that enables rapid automatic splicing through a self-locking mechanism. Subsequently, two power-concentrated joints in the mechanism are identified using unit power concentration metrics, and optimized through hydraulic-driven closed-loop structural designs, effectively improving both structural stiffness and power transmission efficiency. Prototype testing results show that the optimized mechanism achieves an impressive load-to-weight ratio of 1.19, with splicing efficiency 4-8 times higher than manual operations, while maintaining stable and reliable grasping and docking performance. This work presents an efficient and reliable solution for automated steel arch splicing in heavy-duty construction environments, offering substantial engineering application value.

Authors

Institutions

Publication Details

Journal
Scientific Reports
Published
2025-11-11
DOI
https://doi.org/10.1038/s41598-025-17696-6
Primary Topic
Tunneling and Rock Mechanics
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Analysis and reinforcement design of power concentrated joints in steel arch splicing mechanisms for tunnel boring machines

Xiangpan Zheng, Yuanfu He, Zhen Xu, Xinyi Yu
Scientific Reports
Tunneling and Rock Mechanics
article

Analysis and reinforcement design of power concentrated joints in steel arch splicing mechanisms for tunnel boring machines

Xiangpan Zheng, Yuanfu He, Zhen Xu, Xinyi Yu
article en

Abstract

To address the challenges of low efficiency and high safety risks in manual steel arch installation during Tunnel Boring Machine (TBM) construction, this study proposes an innovative steel arch splicing mechanism. By employing power-concentrated joint analysis and closed-loop reinforcement design, the mechanism demonstrates significantly enhanced dynamic performance and load-bearing capacity. The research first introduces a novel bolt-free steel arch joint structure that enables rapid automatic splicing through a self-locking mechanism. Subsequently, two power-concentrated joints in the mechanism are identified using unit power concentration metrics, and optimized through hydraulic-driven closed-loop structural designs, effectively improving both structural stiffness and power transmission efficiency. Prototype testing results show that the optimized mechanism achieves an impressive load-to-weight ratio of 1.19, with splicing efficiency 4-8 times higher than manual operations, while maintaining stable and reliable grasping and docking performance. This work presents an efficient and reliable solution for automated steel arch splicing in heavy-duty construction environments, offering substantial engineering application value.

Scientific ReportsVol. 15(1)
Central South University (CN), Minjiang University (CN), China Railway Construction Corporation (China) (CN), Fujian University of Technology (CN)
Natural Science Foundation of Fujian Province, Department of Education, Fujian Province, Fujian University of Technology, Minjiang University
Openalex Percentile: Top 65%
Tunneling and Rock Mechanics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.