Physics-Informed Machine Learning-Driven Active Utilization of Ventilation and Heat Exchange in Large Underground Tunnels DOI
Mengru Ma,

Z.B. Zhang,

Jun Chen

et al.

Renewable Energy, Journal Year: 2025, Volume and Issue: unknown, P. 123283 - 123283

Published: April 1, 2025

Language: Английский

Investigation into the Early Cracking Behavior of High-Geothermal Tunnel Lining Concrete Based on Thermal–Mechanical Coupling Model DOI Creative Commons
S. Xie, Dan Zhao,

Peng Yi

et al.

Buildings, Journal Year: 2025, Volume and Issue: 15(2), P. 301 - 301

Published: Jan. 20, 2025

As a typical extreme environment, high-geothermal environment poses severe challenges to tunnel construction in western China. In this paper, thermal–mechanical coupling model was formulated evaluate the cracking behavior of lining under conditions, considering early property evolution concrete. This further validated by field monitoring and analyzed adjusting relevant parameters. Results indicate that higher risk occurred on external surface sidewall after 24 h casting. With increase surrounding rock temperature, duration extended. When temperature exceeded 68.7 °C, thermal insulation measures were required for structure. Notably, superior achieved applying sandwich structure rigid polyurethane materials with thickness 20–60 mm. terms curing adopting formwork larger heat convection coefficient conducive reducing lining, an appropriate removal time 48 h. work provides insights into concrete, thereby mitigating its environment.

Language: Английский

Citations

0

Physics-Informed Machine Learning-Driven Active Utilization of Ventilation and Heat Exchange in Large Underground Tunnels DOI
Mengru Ma,

Z.B. Zhang,

Jun Chen

et al.

Renewable Energy, Journal Year: 2025, Volume and Issue: unknown, P. 123283 - 123283

Published: April 1, 2025

Language: Английский

Citations

0