河南理工大学学报（自然科学版）2026，Vol.45Issue(4)：86-94,9.DOI:10.16186/j.cnki.1673-9787.2025120037
基于多因素耦合的高海拔隧道瓦斯体积分数预测模型研究
Prediction model for gas volume fraction in high-altitude tunnels based on multi-factor coupling
摘要
Abstract
Objectives To investigate the effects of altitude,gas emission rate,distance between the air supply outlet and the tunnel face,and ventilation velocity on the diffusion and migration of gas in high-altitude gas tunnels during construction,a multi-factor coupled prediction model for gas concentration at the tunnel face was established.Methods A three-dimensional numerical model was established using com-putational fluid dynamics(CFD)software.Nineteen working conditions were designed using a single-factor control variable method to analyze the influence of each key factor on gas migration in the tunnel.Based on a four-factor,four-level orthogonal experimental design and multivariate nonlinear regression analysis,a multi-factor coupled prediction model for gas concentration at the tunnel face was constructed.Field mea-surements and numerical simulation results were used to validate the model accuracy.Results The results show that the gas concentration at the tunnel face increases exponentially with altitude.When altitude in-creases from 0 km to 5 km,the average gas concentration in the stable flow region rises from 0.072%to 0.128%.A strong positive linear correlation exists between gas concentration and gas emission rate.When the gas emission rate increases from 1 m³/min to 7 m³/min,the average gas concentration at different sec-tions in the stable flow region stabilized within the range of 0.03%-0.23%.The minimum gas concentration at the tunnel face occurs when the distance between the air duct outlet and the face is 10 m.Gas concentra-tion shows a clear inverse power-law relationship with ventilation velocity,and a reduction of up to 44.4%is observed when velocity exceeds 16 m/s.The proposed model achieves a coefficient of determination of 0.903,and the relative prediction error is within 2.79%-4.54%.Conclusions The proposed model can effec-tively predict the gas concentration at the tunnel face under varying altitudes,gas emission rates,ventila-tion velocities,and air duct positions,providing a scientific basis for ventilation design and gas hazard pre-vention in high-altitude gas tunnels.关键词
高海拔/施工通风/瓦斯运移/预测模型/数值模拟Key words
high altitude/construction ventilation/gas migration/prediction model/computational fluid dynamics分类
交通工程引用本文复制引用
李琦,曹宇翔,唐玉秋,雷朋,李敏..基于多因素耦合的高海拔隧道瓦斯体积分数预测模型研究[J].河南理工大学学报（自然科学版）,2026,45(4):86-94,9.基金项目
国家自然科学基金资助项目(51908387) （51908387）
