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OA
Prediction model for gas volume fraction in high-altitude tunnels based on multi-factor coupling
目的 为了探明高海拔瓦斯隧道施工过程中,海拔高度、瓦斯涌出量、送风口距掘进工作面距离、送风口风速对隧道内瓦斯气体扩散运移的影响,进行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.方法 采用计算流体力学软件建立三维数值模型,通过单因素控制变量法设置计算工况,分析各核心因素对隧道瓦斯运移的影响规律;结合4因素4水平正交试验与多元非线性拟合,构建多因素耦合的高海拔隧道瓦斯体积分数预测模型,并采用已有工程实测与数值模拟成果完成模型精度验证.结果 结果发现:(1)随着海拔高度升高,隧道内掘进工作面平均瓦斯体积分数呈指数增长,当海拔高度从0 km升至5 km时,隧道内稳定区域平均瓦斯体积分数从0.072%升至0.128%;(2)隧道瓦斯体积分数与瓦斯涌出量呈高敏感性线性正相关,当瓦斯涌出量由1 m³/min增至7 m³/min时,稳流区各截面平均瓦斯体积分数同步稳定至0.03%,0.23%;(3)当风管出风口距掘进工作面距离为10 m时,掘进工作面处瓦斯体积分数达到最小值;(4)瓦斯体积分数与风管出风口风速呈明显的幂数负相关,当风速大于16 m/s时,瓦斯体积分数下降率达到44.4%;(5)构建的多因素耦合预测模型决定系数达0.903,模型相对预测误差仅为2.79%～4.54%.结论 本研究可有效预测不同海拔高度、瓦斯涌出量、通风风速和风管位置下掌子面的瓦斯体积分数,可为高海拔瓦斯隧道施工通风设计与瓦斯灾害防控提供科学支撑.
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.
李琦;曹宇翔;唐玉秋;雷朋;李敏
四川农业大学 建筑与城乡规划学院,四川 成都 611830四川农业大学 建筑与城乡规划学院,四川 成都 611830宜宾天原集团股份有限公司,四川 宜宾 644000四川农业大学 建筑与城乡规划学院,四川 成都 611830四川农业大学 建筑与城乡规划学院,四川 成都 611830
交通工程
高海拔施工通风瓦斯运移预测模型数值模拟
high altitudeconstruction ventilationgas migrationprediction modelcomputational fluid dynamics
《河南理工大学学报（自然科学版）》 2026 (4)
86-94,9
国家自然科学基金资助项目(51908387)
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