Optimization of Liquid Nitrogen Freezing in a Water-Rich Sand Stratum with High-Velocity Seepage Based on the PSO Algorithm

The quality of artificial ground freezing construction deteriorates significantly in tunneling projects involving water-rich sandy strata with high flow velocities. This study aims to optimize the design of freezing schemes by improving construction efficiency, while ensuring cost-effectiveness under these challenging hydrogeological conditions. Using the liquid nitrogen freezing project in a high-permeability sand stratum as a research objective, COMSOL Multiphysics (version 6.1)-based numerical simulations are conducted to analyze the evolution of the temperature field and the formation of the frozen arch under high-velocity seepage conditions. An enhanced freezing configuration is subsequently developed through integration with the particle swarm optimization (PSO) algorithm. The results indicate that rapid groundwater flow delays upstream frozen arch closure by 3.37 days and induces displacement and thickness irregularities, as reflected by a reduction in standard deviation from 0.71 to 0.27 following optimization. The optimized scheme achieves a reduction of at least 20.14 days in the total freezing duration compared with conventional uniformly spaced freezing pipe arrangements. Temperature uniformity within the frozen zone improves significantly, with the upstream–downstream thermal differential decreasing from 30.85°C to 1.12°C. Furthermore, the revised configuration effectively mitigates upstream thermal erosion through synchronized arch development, thereby enhancing mechanical stability, evidenced by a 15% increase in load-bearing capacity and operational safety, while also preventing excessive energy consumption.

Authors

Institutions

Publication Details

Journal
International Journal of Geomechanics
Published
2025-11-27
DOI
https://doi.org/10.1061/ijgnai.gmeng-12159
Primary Topic
Climate change and permafrost
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Optimization of Liquid Nitrogen Freezing in a Water-Rich Sand Stratum with High-Velocity Seepage Based on the PSO Algorithm

Haibing Cai, Yulu Song, Changqiang Pang, Zhe Yang
International Journal of Geomechanics
Climate change and permafrost
article

Optimization of Liquid Nitrogen Freezing in a Water-Rich Sand Stratum with High-Velocity Seepage Based on the PSO Algorithm

Haibing Cai, Yulu Song, Changqiang Pang, Zhe Yang
article en

Abstract

The quality of artificial ground freezing construction deteriorates significantly in tunneling projects involving water-rich sandy strata with high flow velocities. This study aims to optimize the design of freezing schemes by improving construction efficiency, while ensuring cost-effectiveness under these challenging hydrogeological conditions. Using the liquid nitrogen freezing project in a high-permeability sand stratum as a research objective, COMSOL Multiphysics (version 6.1)-based numerical simulations are conducted to analyze the evolution of the temperature field and the formation of the frozen arch under high-velocity seepage conditions. An enhanced freezing configuration is subsequently developed through integration with the particle swarm optimization (PSO) algorithm. The results indicate that rapid groundwater flow delays upstream frozen arch closure by 3.37 days and induces displacement and thickness irregularities, as reflected by a reduction in standard deviation from 0.71 to 0.27 following optimization. The optimized scheme achieves a reduction of at least 20.14 days in the total freezing duration compared with conventional uniformly spaced freezing pipe arrangements. Temperature uniformity within the frozen zone improves significantly, with the upstream–downstream thermal differential decreasing from 30.85°C to 1.12°C. Furthermore, the revised configuration effectively mitigates upstream thermal erosion through synchronized arch development, thereby enhancing mechanical stability, evidenced by a 15% increase in load-bearing capacity and operational safety, while also preventing excessive energy consumption.

International Journal of GeomechanicsVol. 26(2)
Anhui University of Science and Technology (CN)
Openalex Percentile: Top 59%
Climate change and permafrost
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.

Optimization of Liquid Nitrogen Freezing in a Water-Rich Sand Stratum with High-Velocity Seepage Based on the PSO Algorithm — Haibing Cai, Yulu Song, et al. · International Journal of Geomechanics (2025) | TGRS Research Map | TGRS